  Adaptive binarize context
ID |
Specifies an adaptive binarize context, allocated using
MimAlloc() with
M_BINARIZE_ADAPTIVE_CONTEXT, and used in
MimBinarizeAdaptive() operations.
The main setting with which to control an adaptive binarize
context is M_THRESHOLD_MODE. In general, all other control
settings are used by the specified thresholding process to
establish the threshold values with which to binarize.
(summarize)
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M_AVERAGE_MODE |
Sets how MIL establishes average pixel values that can be
required to determine threshold values. This is typically used when
M_THRESHOLD_MODE is set to M_NIBLACK or M_LOCAL_MEAN. INQ
(summarize)
Sets how MIL establishes average pixel values that
can be required to determine threshold values. INQ
(more details...)
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M_DEFAULT |
Same as M_UNIFORM.
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M_GAUSSIAN |
Specifies a Gaussian type average.
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M_UNIFORM |
Specifies a uniform type average.
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M_FOREGROUND_VALUE |
Sets whether the objects to binarize are lighter or darker than
the background. INQ
(summarize)
Sets whether the objects to binarize are lighter or
darker than the background. INQ
(more details...)
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M_DEFAULT |
Same as
M_FOREGROUND_WHITE.
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M_FOREGROUND_BLACK |
Specifies that the objects to binarize are darker than the
background.
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M_FOREGROUND_WHITE |
Specifies that the objects to binarize are lighter than the
background.
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M_GLOBAL_MAX |
Sets the maximum threshold value. The threshold destination
image (MimBinarizeAdaptive()) cannot hold
values higher than M_GLOBAL_MAX. Higher threshold values are
clipped.
If the source image (MimBinarizeAdaptive()) also has a
maximum value restriction (MbufControl()
with M_MAX), MIL uses the lower maximum value as the
actual maximum.
By default, MIL binarizes pixels with an intensity higher than
the maximum as part of the foreground (object). To change this
behavior, use the M_FOREGROUND_VALUE control. INQ
(summarize)
Sets the maximum threshold value. INQ
(more details...)
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M_DEFAULT |
Specifies that there is no maximum threshold value restriction
imposed by M_GLOBAL_MAX.
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Value >
M_GLOBAL_MIN |
Specifies the maximum threshold value.
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M_GLOBAL_MIN |
Sets the minimum threshold value. The threshold destination
image (MimBinarizeAdaptive()) cannot hold
values lower than M_GLOBAL_MIN. Lower threshold values are
clipped.
If the source image (MimBinarizeAdaptive()) also has a
minimum value restriction (MbufControl()
with M_MIN), MIL uses the greater minimum value as
the actual maximum.
By default, MIL binarizes pixels with an intensity lower than
the minimum as part of the background. To change this behavior, use
the M_FOREGROUND_VALUE control. INQ
(summarize)
Sets the minimum threshold value. INQ
(more details...)
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M_DEFAULT |
Specifies that there is no minimum threshold value restriction
imposed by M_GLOBAL_MIN.
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Value <
M_GLOBAL_MAX |
Specifies the minimum threshold value.
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M_GLOBAL_OFFSET |
Sets the offset to add to each threshold value. MimBinarizeAdaptive() uses the
adjusted threshold values. The specified offset is reflected in the
threshold destination image (MimBinarizeAdaptive()). INQ
(summarize)
Sets the offset to add to each threshold value.
INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.0.
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Value |
Specifies the offset.
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M_GLOBAL_OFFSET_SECOND_PASS |
Sets the offset to apply to the threshold values for
the second pass of an hysteresis adaptive binarization.
INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.0.
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Value |
Specifies the offset.
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M_HYSTERESIS |
Specifies whether to perform the adaptive binarization using an
hysteresis process. INQ
(summarize)
Specifies whether to perform the adaptive
binarization using an hysteresis process. INQ
(more details...)
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M_DEFAULT |
Same as M_DISABLE.
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M_DISABLE |
Specifies that the adaptive binarization does not use an
hysteresis process.
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M_ENABLE |
Specifies that the adaptive binarization uses an
hysteresis process.
(more details...)
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M_LOCAL_DIMENSION |
Specifies the size of the neighborhood that the threshold mode
uses to establish threshold values.
For an M_NIBLACK or M_LOCAL_MEAN threshold mode, the size should be
the largest square that represents a uniform background. The size
should also be greater than the object's expected thickness. For an
M_BERNSEN threshold mode, the size should be
close to the object's expected width. For an M_PSEUDOMEDIAN threshold mode, the size should
be half the object's expected thickness. INQ
(summarize)
Specifies the size of the neighborhood that the
threshold mode uses to establish threshold values. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 15 pixels.
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Value >= 1 |
Specifies the size of the neighborhood, in pixels. Only
integer values accepted.
(summarize)
Specifies the size of the neighborhood, in
pixels.
(more details...)
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M_MINIMUM_CONTRAST |
Sets the minimum contrast between background and foreground
(object) pixels. MIL binarizes (classifies) pixels in a
neighborhood as background if they do not meet the minimum
contrast. An M_LOCAL_MEAN threshold mode ignores the minimum
contrast. INQ
(summarize)
Sets the minimum contrast between background and
foreground (object) pixels. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 5.0.
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Value >=
0.0 |
Specifies the minimum contrast.
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M_NIBLACK_BIAS |
Sets the bias for Niblack's binarization mode. This value only
has an effect if M_THRESHOLD_MODE is set to M_NIBLACK.
The bias gives you some general control over thresholding. A
higher bias binarizes fainter values as part of the object. A lower
bias binarizes fainter values as part of the background.
INQ
(summarize)
Sets the bias for Niblack's binarization mode.
INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.2.
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Value >=
0.0 |
Specifies the bias. Typical values range from 0.1 to 0.3.
(summarize)
Specifies the bias.
(more details...)
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M_NIBLACK_BIAS_SECOND_PASS |
Sets the bias for the second pass of a Niblack
adaptive binarization that uses an hysteresis process. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.2.
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Value >=
0.0 |
Specifies the bias.
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M_THRESHOLD_MODE |
Sets how MIL establishes the threshold values with which to
binarize the source image. INQ
(summarize)
Sets how MIL establishes the threshold values with
which to binarize the source image. INQ
(more details...)
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M_DEFAULT |
Same as M_NIBLACK.
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M_BERNSEN |
Specifies that threshold values are established using Bernsen's
adaptive threshold algorithm. This represents a type of
morphological erosion and dilation. This threshold results in the
fastest process.
(summarize)
Specifies that threshold values are established
using Bernsen's adaptive threshold algorithm.
(more details...)
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M_LOCAL_MEAN |
Specifies that threshold values are established using adaptive
local mean calculations. This is a simplified version of M_NIBLACK. M_LOCAL_MEAN usually results in a faster,
though less precise, binarization than M_NIBLACK.
(summarize)
Specifies that threshold values are established
using adaptive local mean calculations.
(more details...)
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M_NIBLACK |
Specifies that threshold values are established using Niblack's
adaptive threshold algorithm. This setting offers the highest
precision. The processing time is usually quite quick.
(summarize)
Specifies that threshold values are established
using Niblack's adaptive threshold algorithm.
(more details...)
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M_PSEUDOMEDIAN |
Specifies that threshold values are established using adaptive
pseudomedian calculations. This is similar to an M_BERNSEN threshold, except it represents a
type of morphological open or close process instead of erosion or
dilation.
(summarize)
Specifies that threshold values are established
using adaptive pseudomedian calculations.
(more details...)
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Adaptive binarize
from seed context ID |
Specifies an adaptive binarize context that uses seeds,
allocated using MimAlloc() with M_BINARIZE_ADAPTIVE_FROM_SEED_CONTEXT, and
used in MimBinarizeAdaptive() operations.
The main setting with which to control an adaptive binarize
context that uses seeds is M_THRESHOLD_MODE. In general, all other
control settings are used by the specified thresholding process to
establish the threshold values with which to binarize.
(summarize)
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M_FOREGROUND_VALUE |
Sets whether the objects to binarize are lighter or darker than
the background. INQ
(summarize)
Sets whether the objects to binarize are lighter or
darker than the background. INQ
(more details...)
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M_DEFAULT |
Same as
M_FOREGROUND_WHITE.
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M_FOREGROUND_BLACK |
Specifies that the objects to binarize are darker than the
background.
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M_FOREGROUND_WHITE |
Specifies that the objects to binarize are lighter than the
background.
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M_GLOBAL_OFFSET |
Sets the offset to add to each established threshold value.
Binarization uses the adjusted threshold values, however offsets do
not change the threshold values themselves. The content of the
threshold destination image (MimBinarizeAdaptive() with ThresholdImageBufId)
remains unaltered. INQ
(summarize)
Sets the offset to add to each established threshold
value. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.0.
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Value |
Specifies the offset.
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M_NB_ITERATIONS |
Sets the number of times to perform the adaptive threshold
process specified with M_THRESHOLD_MODE. INQ
(summarize)
Sets the number of times to perform the adaptive
threshold process specified with M_THRESHOLD_MODE. INQ
(more details...)
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M_DEFAULT |
Same as
M_TO_IDEMPOTENCE.
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M_TO_IDEMPOTENCE |
Specifies that the threshold process iterates until idempotence
is reached. This is the number of iterations at which subsequent
iterations do not alter results.
(summarize)
Specifies that the threshold process iterates until
idempotence is reached.
(more details...)
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Value > 0 |
Specifies the number of iterations. Only integer values
accepted. The threshold process for an M_TOGGLE threshold mode is always performed
once.
(summarize)
Specifies the number of iterations.
(more details...)
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M_NB_SEED_ITERATIONS |
Sets the number of iterations with which to internally establish
the seeds that the threshold mode requires. This value only has an
effect if you do not specify your own seed images with MimBinarizeAdaptive(). INQ
(summarize)
Sets the number of iterations with which to
internally establish the seeds that the threshold mode requires.
INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 1.
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Value > 0 |
Specifies the number of iterations. Only integer values
accepted.
(summarize)
Specifies the number of iterations.
(more details...)
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M_THRESHOLD_MODE |
Sets how MIL uses seeds to establish the threshold values with
which to binarize the source image. You can provide the required
seed images when you call MimBinarizeAdaptive(). If you do not,
MIL internally establishes the seed data. INQ
(summarize)
Sets how MIL uses seeds to establish the threshold
values with which to binarize the source image. INQ
(more details...)
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M_DEFAULT |
Same as
M_RECONSTRUCT.
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M_LEVEL |
Specifies that threshold values are established using an
adaptive leveling. This essentially performs two geodesic
reconstructions. One that processes the foreground as white, and
the other that processes the foreground as black. This results in
M_LEVEL generally taking twice as long as
M_RECONSTRUCT. M_LEVEL uses one seed image.
(summarize)
Specifies that threshold values are established
using an adaptive leveling.
(more details...)
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M_RECONSTRUCT |
Specifies that threshold values are established using an
adaptive geodesic reconstruction. This represents a type of
morphological erosion or dilation. M_RECONSTRUCT uses one seed image. M_RECONSTRUCT is typically faster than
M_LEVEL and slower than M_TOGGLE.
(summarize)
Specifies that threshold values are established
using an adaptive geodesic reconstruction.
(more details...)
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M_TOGGLE |
Specifies that threshold values are established as one of two
possibilities, defined by the seeds. MIL compares the source pixel
(including the offset) to each seed. The value of the closest seed
is the threshold value for that pixel. M_TOGGLE uses two seed images (typically min
and max values). M_TOGGLE is the fastest threshold mode.
(summarize)
Specifies that threshold values are established as
one of two possibilities, defined by the seeds.
(more details...)
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Cumulative
statistics image processing
context ID |
Specifies a cumulative statistics image processing context,
allocated using MimAlloc() with M_STATISTICS_CUMULATIVE_CONTEXT, and used in
MimStatCalculate() operations.
To process multiple images, call MimStatCalculate() multiple times, each
time with a different source image.
Note, use multiple calls to this function to enable multiple
statistical operations. Enabling fewer statistics will help
increase the speed of the operation.
(summarize)
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M_SOURCE_SIZE_X |
Sets the X-size of the target area in the source images. Note
that, the setting of this control type is ignored, unless using
MimStatCalculate() with M_PREPROCESS when you do not provide a source
image. INQ
(summarize)
Sets the X-size of the target area in the source
images. INQ
(more details...)
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M_DEFAULT |
Same as M_NULL.
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M_NULL |
Specifies to clear the size.
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Width |
Specifies the width of the target area in the source images, in
pixels.
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M_SOURCE_SIZE_Y |
Sets the Y-size of the target area in the source images. Note
that, this control is option unless using MimStatCalculate() with M_PREPROCESS, while not providing a source buffer.
INQ
(summarize)
Sets the Y-size of the target area in the source
images. INQ
(more details...)
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M_DEFAULT |
Same as M_NULL.
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M_NULL |
Specifies to clear the size.
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Height |
Specifies the height of the target area in the source images, in
pixels.
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M_STAT_MAX |
Sets whether to calculate the maximum pixel value from each
pixel location across the source image. INQ
(summarize)
Sets whether to calculate the maximum pixel value
from each pixel location across the source image. INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_MAX_ABS |
Sets whether to calculate the maximum absolute pixel value from
each pixel location across the source image. INQ
(summarize)
Sets whether to calculate the maximum absolute pixel
value from each pixel location across the source image.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_MEAN |
Sets whether to calculate the mean pixel value for each pixel
location across the different source images. INQ
(summarize)
Sets whether to calculate the mean pixel value for
each pixel location across the different source images.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_MIN |
Sets whether to calculate the minimum pixel value for each pixel
location across the different source images. INQ
(summarize)
Sets whether to calculate the minimum pixel value
for each pixel location across the different source images.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_MIN_ABS |
Sets whether to calculate the minimum absolute pixel value for
each pixel location across the different source images.
INQ
(summarize)
Sets whether to calculate the minimum absolute pixel
value for each pixel location across the different source images.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_NUMBER |
Sets whether to keep track of the number of source images.
INQ
(summarize)
Sets whether to keep track of the number of source
images. INQ
(more details...)
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M_DISABLE |
Specifies not to keep track.
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M_ENABLE |
Specifies to keep track.
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M_STAT_STANDARD_DEVIATION |
Sets whether to calculate the standard deviation. Note that MIL
calculates the standard deviation using the following formula:
INQ
(summarize)
Sets whether to calculate the standard deviation.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_SUM |
Sets whether to calculate the sum of the pixel value for each
pixel location across the different source images. INQ
(summarize)
Sets whether to calculate the sum of the pixel value
for each pixel location across the different source images.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_SUM_ABS |
Sets whether to calculate the sum of the absolute pixel values
for each pixel location across the different source images.
INQ
(summarize)
Sets whether to calculate the sum of the absolute
pixel values for each pixel location across the different source
images. INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_SUM_OF_SQUARES |
Sets whether to calculate the sum of the squared pixel values
for each pixel location across the different source images.
INQ
(summarize)
Sets whether to calculate the sum of the squared
pixel values for each pixel location across the different source
images. INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STEP_SIZE_X |
Sets the distance between the neighborhood along the X-axis in
which to evaluate the specified statistic. INQ
(summarize)
Sets the distance between the neighborhood along the
X-axis in which to evaluate the specified statistic. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.
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Width |
Specifies the width of the neighborhood, in pixels.
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M_STEP_SIZE_Y |
Sets the distance between the neighborhood along the Y-axis in
which to evaluate the specified statistic. INQ
(summarize)
Sets the distance between the neighborhood along the
Y-axis in which to evaluate the specified statistic. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.
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Height |
Specifies the height of the neighborhood, in pixels.
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M_TILE_SIZE_X |
Sets the X-size (width) of neighborhood in which to evaluate the
specified statistic.
(summarize)
Sets the X-size (width) of neighborhood in which to
evaluate the specified statistic.
(more details...)
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Width |
Specifies the width of the neighborhood.
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M_TILE_SIZE_Y |
Sets the Y-size (width) of neighborhood in which to evaluate the
specified statistic.
(summarize)
Sets the Y-size (width) of neighborhood in which to
evaluate the specified statistic.
(more details...)
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Height |
Specifies the height of the neighborhood.
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Dead pixel
correction image processing
context ID |
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M_DEAD_PIXELS |
Sets the dead pixels image buffer used to identify dead pixels
in the source image, where all non-zero pixels are considered dead
pixels.
Note that you should only use this control type if you have not
specified a series of values that identify the dead pixels, using
MimPut() with M_XY_DEAD_PIXELS.
(summarize)
Sets the dead pixels image buffer used to identify
dead pixels in the source image, where all non-zero pixels are
considered dead pixels.
(more details...)
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Dead pixel mask image buffer
ID |
Specifies identifier of the image buffer containing the dead
pixel mask.
The buffer must be a single-band image buffer, allocated using
MbufAlloc...().
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies identifier of the image buffer containing
the dead pixel mask.
(more
details...)
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M_INTERPOLATION_MODE |
Sets the interpolation mode. INQ
(summarize)
Sets the interpolation mode. INQ
(more details...)
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M_DEFAULT |
Same as
M_AVERAGE.
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M_AVERAGE |
Specifies to overwrite a dead pixel with an interpolation
performed using a weighted average of all its neighboring pixels in
the source image.
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Deinterlacing image
processing context ID |
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M_DEINTERLACE_TYPE |
Sets the deinterlacing algorithm to use. The chosen algorithm
can either be applied to all the pixels in the source image or to
the pixels that are part of an object in motion (adaptive version
of the algorithm).
To determine if a pixel is part of a moving object, the adaptive
algorithm compares it with the pixel at the same location in
neighboring frames. If the difference between the maximum and
minimum pixel intensity exceeds a set threshold (M_MOTION_DETECT_THRESHOLD), then the pixel is
considered to be part of a moving object. Otherwise, the pixel is
considered to be part of the background. The deinterlacing
algorithm is not applied to the background pixels. Instead, the
background pixels in the output image will be formed by the
corresponding pixels in the even or odd field. INQ
(summarize)
Sets the deinterlacing algorithm to use.
INQ
(more details...)
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M_DEFAULT |
Same as M_DISCARD.
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M_ADAPTIVE_AVERAGE |
Specifies that the average algorithm is applied to the pixels
that are considered to be part of a moving object and leaves the
background pixels unchanged.
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M_ADAPTIVE_BOB |
Specifies that the bob algorithm is applied to the pixels that
are considered to be part of a moving object and leaves the
background pixels unchanged.
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M_ADAPTIVE_DISCARD |
Specifies that the discard algorithm is applied to the pixels
that are considered to be part of a moving object and leaves the
background pixels unchanged.
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M_AVERAGE |
Performs the averaging algorithm. This algorithm is equivalent
to performing the discard algorithm twice, once using the first
field in the frame and once using the second. The resulting two
frames will then be averaged to form one deinterlaced output
frame.
(summarize)
Performs the averaging algorithm.
(more
details...)
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M_BOB |
Performs the bob algorithm. This algorithm performs the discard
algorithm twice, once using the first field in the frame and once
using the second. The result is two output frames. Therefore, the
output frame rate is twice as high as the input frame rate.
(summarize)
Performs the bob algorithm.
(more
details...)
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M_DISCARD |
Performs the discard algorithm. This algorithm takes one field
from the source image and discards the other. The second field is
then calculated from this field. Each row of the second field is
obtained by averaging the two corresponding neighboring rows in the
first field. For example, the first row of the second field is
calculated from the average of the first and second rows of the
first field.
(summarize)
Performs the discard algorithm.
(more
details...)
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M_DISCARD_FIELD |
Sets the field to discard when using the M_DISCARD or M_ADAPTIVE_DISCARD algorithm. Note, in the
averaging and bob algorithms, the discard algorithm is called
twice; the first field is discarded on the first call and the
second field is discarded on the second call. INQ
(summarize)
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M_DEFAULT |
Same as M_EVEN_FIELD.
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M_EVEN_FIELD |
Specifies that the even field is discarded.
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|
|
M_ODD_FIELD |
Specifies that the odd field is discarded.
|
|
|
M_FIRST_FIELD |
Sets the first field to be processed for each input frame and
consequently sets the order of the output frames when using the
M_BOB or M_ADAPTIVE_BOB algorithm. INQ
(summarize)
Sets the first field to be processed for each input
frame and consequently sets the order of the output frames when
using the M_BOB or M_ADAPTIVE_BOB algorithm. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_EVEN_FIELD.
|
|
|
|
M_EVEN_FIELD |
Specifies that the even field will be processed first.
|
|
|
|
M_ODD_FIELD |
Specifies that the odd field will be processed first.
|
|
|
M_MOTION_DETECT_NUM_FRAMES |
Sets the number of frames to use for comparison purposes to
determine if a pixel is part of an object in motion. INQ
(summarize)
Sets the number of frames to use for comparison
purposes to determine if a pixel is part of an object in motion.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 2.
|
|
|
|
Value > 1 |
Specifies the number of frames.
|
|
|
M_MOTION_DETECT_OUTPUT |
Sets whether the output images of MimDeinterlace() are deinterlaced images
or images indicating which pixels are considered to be part of an
object in motion (the internal motion detection mask). In the
latter case, the pixel values are either 0, if they are part of a
background object, or the maximum unsigned value (0xFF for an 8 bit
image), if they are part of an object in motion. INQ
(summarize)
Sets whether the output images of MimDeinterlace() are
deinterlaced images or images indicating which pixels are
considered to be part of an object in motion (the internal motion
detection mask). INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_DISABLE.
|
|
|
|
M_DISABLE |
Specifies that the output images are the deinterlaced
images.
|
|
|
|
M_ENABLE |
Specifies that the output images indicate the background pixels
and the pixels that are considered to be part of the object in
motion.
|
|
|
M_MOTION_DETECT_REFERENCE_FRAME |
Sets the index of the frame to process within the group of
frames that are used for motion detection. This frame is used as
the reference frame. INQ
(summarize)
Sets the index of the frame to process within the
group of frames that are used for motion detection. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_CENTER_FRAME.
|
|
|
|
M_CENTER_FRAME |
Specifies that the center frame in the group is used as the
reference frame.
|
|
|
|
M_FIRST_FRAME |
Specifies that the first frame in the group is used as the
reference frame.
|
|
|
|
M_LAST_FRAME |
Specifies that the last frame in the group is used as the
reference frame.
|
|
|
|
0 <= Value <
M_MOTION_DETECT_NUM_FRAMES |
Specifies the index of the frame relative to the first frame of
the group. The first frame of the group has index 0.
(summarize)
Specifies the index of the frame relative to the
first frame of the group.
(more
details...)
|
|
|
M_MOTION_DETECT_THRESHOLD |
Sets the threshold value used to differentiate between pixels
that are part of objects in motion and background pixels. Each
pixel is compared with the pixel at the same location in
neighboring frames. If the difference between the maximum and
minimum pixel intensity exceeds the specified threshold, the pixel
is considered part of a moving object. Otherwise, it is considered
part of the background. INQ
(summarize)
Sets the threshold value used to differentiate
between pixels that are part of objects in motion and background
pixels. INQ
(more details...)
|
|
|
|
Value >= 0 |
Specifies the threshold.
|
|
|
M_SOURCE_FIRST_IMAGE |
Sets the index of the input image used to generate the first
deinterlaced image. INQ
(summarize)
Sets the index of the input image used to generate
the first deinterlaced image. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 0.
|
|
|
|
Value >= 0 |
Specifies the index of the image in the source image array.
|
|
Event list image
processing result ID |
|
|
|
M_RESULT_OUTPUT_UNITS |
Sets whether to return results in pixels or world units. This
essentially sets the output coordinate system to use. The setting
of this control type will only affect functions within this module
which return positional results. This control type can be changed
at any time to return results in the required output units.
INQ
(summarize)
Sets whether to return results in pixels or world
units. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_ACCORDING_TO_CALIBRATION.
|
|
|
|
M_ACCORDING_TO_CALIBRATION |
Specifies that results are returned in world units if the result
was calculated on an image associated with a camera calibration
context; otherwise, specifies that results are returned in pixel
units.
|
|
|
|
M_PIXEL |
Specifies that results are returned in pixel units, with respect
to the pixel coordinate system.
|
|
|
|
M_WORLD |
Specifies that results are returned in world units, with respect
to the relative coordinate system. If world units are specified,
calling MimGetResult() or MimGetResult1d() generates an error
if the result was not calculated on a calibrated image.
(summarize)
Specifies that results are returned in world units,
with respect to the relative coordinate system.
(more
details...)
|
| Find orientation image
processing context ID |
|
|
|
M_BORDER_ATTENUATION |
Sets whether MimFindOrientation() must process the
image's borders, or if the operation can ignore spatial patterns
occurring close to the ends of the image buffer. INQ
(summarize)
Sets whether MimFindOrientation() must process the
image's borders, or if the operation can ignore spatial patterns
occurring close to the ends of the image buffer. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_ENABLE.
|
|
|
|
M_DISABLE |
Specifies that MimFindOrientation() cannot ignore the
image's borders. The find orientation operation will use the
borders.
(summarize)
|
|
|
|
M_ENABLE |
Specifies that MimFindOrientation() can ignore the
image's borders. The find orientation operation will not
necessarily use the borders.
(summarize)
|
|
|
M_FREQUENCY_CUTOFF_RATIO_HIGH |
Specifies the upper limit of frequencies in which to look for
dominant orientations, as a percentage of the maximum frequency;
the maximum frequency is dictated by the size of the image. Larger
images will have higher maximum frequencies. Frequencies higher
than this percentage will be ignored during computation. This can
be useful for discarding noise in the image. INQ
(summarize)
Specifies the upper limit of frequencies in which to
look for dominant orientations, as a percentage of the maximum
frequency; the maximum frequency is dictated by the size of the
image. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 95%.
|
|
|
|
0.0 <= Value <=
100.0 |
Specifies the upper limit of frequencies in which to look for
dominant orientations, as a percentage of the maximum frequency.
For example, by specifying 95% (the default), frequencies above
MaxFrequency x 95% will be
ignored.
(summarize)
Specifies the upper limit of frequencies in which to
look for dominant orientations, as a percentage of the maximum
frequency.
(more
details...)
|
|
|
M_FREQUENCY_CUTOFF_RATIO_LOW |
Specifies the lower limit of frequencies in which to look for
dominant orientations, as a percentage of the maximum frequency;
the maximum frequency is dictated by the size of the image. Larger
images will have higher maximum frequencies. Frequencies lower than
this percentage will be ignored during computation. This can be
useful for discarding noise in the image. INQ
(summarize)
Specifies the lower limit of frequencies in which to
look for dominant orientations, as a percentage of the maximum
frequency; the maximum frequency is dictated by the size of the
image. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 5%.
|
|
|
|
0.0 <= Value <=
100.0 |
Specifies the lower limit of frequencies in which to look for
dominant orientations, as a percentage of the maximum frequency.
For example, by specifying 5% (the default), frequencies below
MaxFrequency x 5% will be
ignored.
(summarize)
Specifies the lower limit of frequencies in which to
look for dominant orientations, as a percentage of the maximum
frequency.
(more
details...)
|
|
|
M_INTERPOLATION_MODE |
Sets the interpolation mode used to internally resize the source
image if it is of an inappropriate size. This will only be used if
the source image has dimensions that are not a power of 2 (X-size
and Y-size).
Note that you cannot set an interpolation mode if you are using
M_CLIP_CENTER. INQ
(summarize)
Sets the interpolation mode used to internally
resize the source image if it is of an inappropriate size.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_NEAREST_NEIGHBOR.
|
|
|
|
M_AVERAGE |
Specifies averaging interpolation. The M_MODE control type must be set to M_RESIZE_DOWN.
(summarize)
Specifies averaging interpolation.
(more
details...)
|
|
|
|
M_BICUBIC |
Specifies bicubic interpolation.
|
|
|
|
M_BILINEAR |
Specifies bilinear interpolation.
|
|
|
|
M_INTERPOLATE |
Specifies interpolated resizing. For resizing up, this is
equivalent to bilinear; for resizing down, this is equivalent to
averaging. This gives the best speed/result compromise for
interpolated resizing.
(summarize)
Specifies interpolated resizing.
(more
details...)
|
|
|
|
M_MAX |
Specifies an interpolation based on the maximum pixel value in
the source image area. The M_MODE control type must be set to M_RESIZE_DOWN.
Note that this can alter the shapes of objects and reduce the
robustness of the operation.
(summarize)
Specifies an interpolation based on the maximum
pixel value in the source image area.
(more
details...)
|
|
|
|
M_MIN |
Specifies an interpolation based on the minimum pixel value in
the source image area. The M_MODE control type must be set to M_RESIZE_DOWN.
Note that this can alter the shapes of objects and reduce the
robustness of the operation.
(summarize)
Specifies an interpolation based on the minimum
pixel value in the source image area.
(more
details...)
|
|
|
|
M_NEAREST_NEIGHBOR |
Specifies the nearest neighbor interpolation.
|
|
|
M_MODE |
Sets the resizing mode used if the source image is of an
inappropriate size. Resizing will only occur if the source image
has dimensions that are not a power of 2 (X-size and Y-size). The
find orientation operation is then performed on the resized image,
which is stored in a temporary image buffer. The original image is
not altered.
For more information on resizing, see the Basic geometric transforms
section of Chapter 3: Fundamental image
processing. INQ
(summarize)
Sets the resizing mode used if the source image is
of an inappropriate size. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_CLIP_CENTER.
|
|
|
|
M_CLIP_CENTER |
Specifies to perform the find orientation operation using the
largest centered portion of the image with dimensions that are a
power of 2 (X-size and Y-size).
|
|
|
|
M_RESIZE_DOWN |
Specifies to perform the find orientation operation on a
subsampled version of the image with the closest possible
dimensions that are a power of 2 (X-size and Y-size).
|
|
|
|
M_RESIZE_UP |
Specifies to perform the find orientation operation on a zoomed
version of the image with the closest possible dimensions that are
a power of 2 (X-size and Y-size).
|
|
Flat-field image
processing context ID |
|
|
|
M_DARK_CONST |
Sets the dark constant value. This is used to remove thermal
agitation recorded in the grabbed image (from the CCD) or to remove
the darkest possible shade of black when removing uneven lighting
from grabbed images.
Note that M_DARK_CONST and M_DARK_IMAGE both cannot be set in the same
flat-field imaging processing context. INQ
(summarize)
Sets the dark constant value. INQ
(more details...)
|
|
|
|
0 <= Value <=
65535 |
Specifies the constant.
|
|
|
M_DARK_IMAGE |
Sets the identifier of the dark image. This is used to remove
thermal agitation recorded in the grabbed image (from the CCD) or
to remove the dark shadows from the source image when removing
uneven lighting from grabbed images. Note that, this image should
be a uniformly dark area (such as, grabbing with the lens cap on
your camera).
Note that M_DARK_CONST and M_DARK_IMAGE both cannot be set in the same
flat-field imaging processing context.
(summarize)
Sets the identifier of the dark image.
(more details...)
|
|
|
|
DarkImageId |
Specifies the identifier of the image buffer. This image buffer
must be an 8- or 16-bit unsigned processing image buffer.
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies the identifier of the image buffer.
(more
details...)
|
|
|
M_FLAT_CONST |
Sets the flat constant value. This is used to remove the
variations of CCD sensitivity recorded in the grabbed image (from
the CCD) or to reduce the gray in the grabbed image when removing
uneven lighting.
Note that M_FLAT_CONST and M_FLAT_IMAGE both cannot be set in the same
flat-field imaging processing context. INQ
(summarize)
Sets the flat constant value. INQ
(more details...)
|
|
|
|
0 <= Value <=
65535 |
Specifies the constant.
|
|
|
M_FLAT_IMAGE |
Sets the identifier of the flat image. This is used to remove
the variations of CCD sensitivity recorded in the grabbed image
(from the CCD) or to reduce the gray in the grabbed image when
removing uneven lighting. Note that, this image should be a uniform
light gray area. When dealing with CCD sensitivity, the exposure
time should be relatively short. Alternatively, when dealing with
uneven lighting, the exposure time should be set so that no pixel
is saturated.
Note that M_FLAT_CONST and M_FLAT_IMAGE both cannot be set in the same
flat-field imaging processing context.
(summarize)
Sets the identifier of the flat image.
(more details...)
|
|
|
|
FlatImageId |
Specifies the identifier of the image buffer. This image buffer
must be an 8- or 16-bit unsigned processing buffer.
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies the identifier of the image buffer.
(more
details...)
|
|
|
M_GAIN_CONST |
Sets the gain factor used to normalize (or scale) the result of
the flat field calculation back to the full dynamic range of the
destination image. INQ
(summarize)
Sets the gain factor used to normalize (or scale)
the result of the flat field calculation back to the full dynamic
range of the destination image. INQ
(more details...)
|
|
|
|
M_AUTOMATIC |
Specifies an automatic gain factor.
The automatically generated gain factor is determined by
subtracting the flat image (M_FLAT_IMAGE) from the offset image (M_OFFSET_IMAGE) and then taking the average of the
resulting image's pixels.
If a constant value is specified instead of images (by using
M_FLAT_CONST and M_OFFSET_CONST), MIL returns the result of the
subtraction instead.
(summarize)
Specifies an automatic gain factor.
(more
details...)
|
|
|
|
Value > 0.0 |
Specifies the gain factor.
|
|
|
M_OFFSET_CONST |
Sets the offset constant value. This is used to remove the
electrical bias recorded in the grabbed image (from the CCD) or to
reduce the black in the flat image when removing uneven
lighting.
Note that M_OFFSET_CONST and M_OFFSET_IMAGE both cannot be set in the same
flat-field imaging processing context. INQ
(summarize)
Sets the offset constant value. INQ
(more details...)
|
|
|
|
0 <= Value <=
65535 |
Specifies the constant.
|
|
|
M_OFFSET_IMAGE |
Sets the identifier of the offset image. This is used to remove
the electrical bias recorded in the image (from the CCD) or to
reduce the black in the flat image when removing uneven lighting.
Note that, this image should be a uniform dark area. When dealing
with electrical bias, the exposure time should be relatively short.
Alternatively, when dealing with uneven lighting, the exposure time
should be the same as for the flat image (that is, so that no pixel
is saturated).
Note that M_OFFSET_CONST and M_OFFSET_IMAGE both cannot be set in the same
flat-field imaging processing context.
(summarize)
Sets the identifier of the offset image.
(more details...)
|
|
|
|
OffsetImageId |
Specifies the identifier of the image buffer. This image buffer
must be an 8- or 16-bit unsigned processing buffer.
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies the identifier of the image buffer.
(more
details...)
|
|
Histogram
equalization adaptive context ID |
|
|
|
M_ALPHA_VALUE |
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 0.4.
|
|
|
|
Value >=
0.0 |
Specifies the adjustment factor.
For an M_EXPONENTIAL operation, greater adjustment
values result in less occurrences of the most frequent pixels of
the histogram in the resulting image buffer.
For an M_RAYLEIGH operation, greater adjustment
values result in greater occurrences of the most frequent pixels of
the histogram in the resulting image buffer.
(summarize)
Specifies the adjustment factor.
(more
details...)
|
|
|
M_CLIP_LIMIT |
Sets the maximum percentage of values that a tile's histogram
bin can represent. INQ
(summarize)
Sets the maximum percentage of values that a tile's
histogram bin can represent. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 1%.
|
|
|
|
0.0 < Value <=
100.0 |
Specifies the maximum percentage. For example, if a tile has 100
pixels and you specify a maximum limit of 10%, there can be no bin
in that tile's histogram with more than 10 values. This essentially
limits the contrast. Exceeding values are distributed evenly among
the tile's other histogram bins.
(summarize)
Specifies the maximum percentage.
(more
details...)
|
|
|
M_HIST_SIZE |
Sets the number of bins for each tile's histogram. INQ
(summarize)
Sets the number of bins for each tile's histogram.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_ACCORDING_TO_SOURCE.
|
|
|
|
M_ACCORDING_TO_SOURCE |
Specifies that MimHistogramEqualizeAdaptive()
automatically determines the number of bins for each tile's
histogram, according to the number of intensities that are possible
in the specified image buffer. For example, if you specify an 8-bit
unsigned buffer, each tile's histogram will have 256 bins.
(summarize)
Specifies that MimHistogramEqualizeAdaptive()
automatically determines the number of bins for each tile's
histogram, according to the number of intensities that are possible
in the specified image buffer.
(more
details...)
|
|
|
|
Value >= 2 |
Specifies the number of bins for each tile's histogram. Only
integer values accepted.
(summarize)
Specifies the number of bins for each tile's
histogram.
(more
details...)
|
|
|
M_NUMBER_OF_TILES_X |
Sets the number of tiles along the X-direction of the source
image specified with MimHistogramEqualizeAdaptive().
Given the number of tiles in the X- and Y-direction, the size of
the source image, and the requirement that tiles be congruent
rectangles, MimHistogramEqualizeAdaptive()
is able to establish the size of the tiles with which to process
the image. INQ
(summarize)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 8.
|
|
|
|
Value >= 2 |
Specifies the number of tiles. Only integer values
accepted.
(summarize)
Specifies the number of tiles.
(more
details...)
|
|
|
M_NUMBER_OF_TILES_Y |
Sets the number of tiles along the Y-direction of the source
image specified with MimHistogramEqualizeAdaptive().
Given the number of tiles in the Y- and X-direction, the size of
the source image, and the requirement that tiles be congruent
rectangles, MimHistogramEqualizeAdaptive()
is able to establish the size of the tiles with which to process
the image. INQ
(summarize)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 8.
|
|
|
|
Value >= 2 |
Specifies the number of tiles. Only integer values
accepted.
(summarize)
Specifies the number of tiles.
(more
details...)
|
|
|
M_OPERATION |
Sets the equalization operation that MimHistogramEqualizeAdaptive()
uses.
The cumulative probability distribution,
Pf(f), of the input image is approximated by its
cumulative histogram:
For more information, refer to "Pratt, William K. Digital
Image Processing . United States: John Wiley & Sons,
1978. 318.". INQ
(summarize)
|
|
|
|
M_DEFAULT |
Same as
M_UNIFORM.
|
|
|
|
M_EXPONENTIAL |
Specifies an equalization density function which generates an
Exponential distribution.
Output probability density model:
Transfer function:
(summarize)
Specifies an equalization density function which
generates an Exponential distribution.
(more
details...)
|
|
|
|
M_HYPER_CUBE_ROOT |
Specifies an equalization density function which generates a
Hyperbolic Cube Root distribution.
Output probability density model:
Transfer function:
(summarize)
Specifies an equalization density function which
generates a Hyperbolic Cube Root distribution.
(more
details...)
|
|
|
|
M_HYPER_LOG |
Specifies an equalization density function which generates a
Hyperbolic Logarithmic distribution.
Output probability density model:
Transfer function:
(summarize)
Specifies an equalization density function which
generates a Hyperbolic Logarithmic distribution.
(more
details...)
|
|
|
|
M_RAYLEIGH |
Specifies an equalization density function which generates a
Rayleigh distribution.
Output probability density model:
Transfer function:
(summarize)
Specifies an equalization density function which
generates a Rayleigh distribution.
(more
details...)
|
|
|
|
M_UNIFORM |
Specifies an equalization density function which generates a
Uniform distribution.
Output probability density model:
Transfer function:
(summarize)
Specifies an equalization density function which
generates a Uniform distribution.
(more
details...)
|
Intensity histogram
image processing result
ID |
|
|
|
M_HIST_BIN_SIZE_MODE |
Sets the number of values each histogram bin can represent. To
specify the number of histogram bins in the result, use MimAllocResult() and the
NbEntries parameter. For
example, if you are using an 8-bit unsigned source image, and you
want to have one bin for every possible intensity value, you should
set the NbEntries parameter to 256.
INQ
(summarize)
Sets the number of values each histogram bin can
represent. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_REGULAR.
|
|
|
|
M_FIT_SRC_DATA |
Specifies that MimHistogram() determines the resulting bin
size according to the source image's minimum and maximum intensity
values, and the total number of bins. For example, if you call
MimHistogram()
with a 16-bit signed buffer that holds a source image with a
minimum pixel intensity value of 10 and a maximum of 1009, the
histogram's bins must account for values between 10 and 1009, which
is a total of 1000 possible values. In this case, if the histogram
has 100 bins, each bin can represent 10 values (1000/100).
(summarize)
Specifies that MimHistogram() determines the resulting bin
size according to the source image's minimum and maximum intensity
values, and the total number of bins.
(more
details...)
|
|
|
|
M_FIT_SRC_RANGE |
Specifies that MimHistogram() determines the resulting bin
size according to the full range of possible values in the source
buffer, and the total number of bins. For example, if you call
MimHistogram()
with a 16-bit signed buffer, the histogram's bins must account for
intensity values ranging from -32768 to 32767, which is a total of
65536 possible values. In this case, if the histogram has 512 bins,
each bin can represent 128 values (65536/512). Note that the
minimum and maximum values possible for a buffer can be modified
using MbufControl()
with M_MIN and M_MAX.
(summarize)
Specifies that MimHistogram() determines the resulting bin
size according to the full range of possible values in the source
buffer, and the total number of bins.
(more
details...)
|
|
|
|
M_FREEDMAN |
Specifies that MimHistogram() determines the resulting bin
size according to the Freedman–Diaconis rule. This is a statistical
estimate based on an equation of the general form: BinSize=2I Q
R(x)n -1/3 .
For more information, see "Freedman, David; Diaconis, Persi.
On the histogram as a density estimator . Heidelberg,
Berlin: Springer, 1981. ".
(summarize)
Specifies that MimHistogram() determines the resulting bin
size according to the Freedman–Diaconis rule.
(more
details...)
|
|
|
|
M_REGULAR |
Specifies that each histogram bin can hold 1 value.
|
|
|
M_HIST_SMOOTHING_ITERATIONS |
Sets the number of smoothing iterations to perform on the
histogram after it has been generated. INQ
(summarize)
Sets the number of smoothing iterations to perform
on the histogram after it has been generated. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 0.
|
|
|
|
Value >= 0 |
Specifies the number of smoothing iterations. Only
integer values accepted.
The smoothing applied is an integer-based averaging of the
histogram; the resulting number of values might therefore be
different than the number of values in the source image.
(summarize)
Specifies the number of smoothing iterations.
(more
details...)
|
|
Locate peak 1D image
processing context ID |
|
|
|
M_MINIMUM_CONTRAST |
Sets the minimum contrast (difference) between the intensity of
the local 1D background and the minimum acceptable intensity of a
pixel in the peak neighborhood.
This control type is intended to adjust how M3dmapAddScan()
internally processes laser line images. When using MimLocatePeak1d(), you
typically set the value using the function's parameters; this
control type only sets the default value used by the function.
INQ
(summarize)
Sets the minimum contrast (difference) between the
intensity of the local 1D background and the minimum acceptable
intensity of a pixel in the peak neighborhood. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 100.
|
|
|
|
0 <= Value <=
255 |
Specifies the minimum contrast.
|
|
|
M_NUMBER_OF_PEAKS |
Sets the maximum number of peaks to find along a given lane. If
more than the specified number of peaks are found, the highest
peaks are kept. INQ
(summarize)
Sets the maximum number of peaks to find along a
given lane. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 1.
|
|
|
|
Value >= 0 |
Specifies the number of peaks. Only integer values
accepted.
(summarize)
Specifies the number of peaks.
(more
details...)
|
|
|
M_PEAK_INTENSITY_RANGE |
Sets the number of pixels used to calculate the average peak
intensity. The pixels are chosen around the peak intensity pixel.
INQ
(summarize)
Sets the number of pixels used to calculate the
average peak intensity. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 5.
|
|
|
|
Value >= 0 |
Specifies the number of pixels.
|
|
|
M_PEAK_WIDTH_DELTA |
Sets the number of pixels that can be added to or subtracted
from the nominal width, when determining the range of allowable
widths of the peak neighborhood.
This control type is intended to adjust how M3dmapAddScan()
internally processes laser line images. When using MimLocatePeak1d(), you
typically set the value using the function's parameters; this
control type only sets the default value used by the function.
INQ
(summarize)
Sets the number of pixels that can be added to or
subtracted from the nominal width, when determining the range of
allowable widths of the peak neighborhood. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 20.
|
|
|
|
Value >= 0 |
Specifies the number of pixels.
|
|
|
M_PEAK_WIDTH_NOMINAL |
Sets the nominal (expected average) width of the peak
neighborhood. In laser line images, this is the average width of
the laser line.
This control type is intended to adjust how M3dmapAddScan()
internally processes laser line images. When using MimLocatePeak1d(), you
typically set the value using the function's parameters; this
control type only sets the default value used by the function.
INQ
(summarize)
Sets the nominal (expected average) width of the
peak neighborhood. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 20.
|
|
|
|
Value >= 0 |
Specifies the number of pixels.
|
|
|
M_SCAN_LANE_DIRECTION |
Sets the direction in which to detect peaks. INQ
(summarize)
Sets the direction in which to detect peaks.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_VERTICAL.
|
|
|
|
M_HORIZONTAL |
Detects peaks along the image's X-axis.
Typically for laser line images with a vertical laser line.
(summarize)
Detects peaks along the image's X-axis.
(more
details...)
|
|
|
|
M_VERTICAL |
Detects peaks along the image's Y-axis.
Typically for laser line images with a horizontal laser
line.
(summarize)
Detects peaks along the image's Y-axis.
(more
details...)
|
|
Locate peak 1D image
processing result ID |
|
|
|
M_SORT_CRITERION |
Sets the quality with which to sort peaks. INQ
(summarize)
Sets the quality with which to sort peaks.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
|
|
|
|
M_PEAK_INTENSITY + |
Orders peaks according to their intensity.
|
|
|
|
M_PEAK_POSITION + |
Orders peaks according to their position.
|
| Match image processing context
ID |
|
|
|
M_MASK_IMAGE |
Sets the image buffer containing the mask image. All non-zero
values are considered masked pixels that will be ignored during the
match.
(summarize)
Sets the image buffer containing the mask image.
(more details...)
|
|
|
|
MaskImageId |
Specifies the identifier of the image buffer containing the mask
image.
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies the identifier of the image buffer
containing the mask image.
(more
details...)
|
|
|
M_MAX_SCORE |
Sets the maximum score when performing a match using the
normalized grayscale correlation mode. When using other matching
modes, this control type is ignored.
This control type causes MIL to linearly remap the range of the
internal match results to the range established, from the lowest
possible value to the maximum score specified. INQ
(summarize)
Sets the maximum score when performing a match using
the normalized grayscale correlation mode. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_MAX_DEPTH.
|
|
|
|
M_MAX_DEPTH |
Specifies to establish the maximum score based on the pixel
depth of the destination buffer (for example, when dealing with a
16-bit signed buffer, the maximum value would be 32, 767). Note
that, when using floating-point destination buffers, the range is
[-1, 1]; unless you use a clipping score type (using M_SCORE_TYPE set to either M_NORM_CLIP or M_NORM_CLIP_SQR), in which case the range is [0,
1].
(summarize)
Specifies to establish the maximum score based on
the pixel depth of the destination buffer (for example, when
dealing with a 16-bit signed buffer, the maximum value would be 32,
767).
(more
details...)
|
|
|
|
Value |
Specifies the maximum score. This score can be any positive
value less than the maximum predetermined by the destination
buffer's pixel depth.
(summarize)
Specifies the maximum score.
(more
details...)
|
|
|
M_MODE |
Sets the type of computation to perform when matching the source
image to the model image. INQ
(summarize)
Sets the type of computation to perform when
matching the source image to the model image. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as
M_CORRELATE_NORMALIZED.
|
|
|
|
M_ABS_SUM_OF_DIFFERENCES |
Computes the absolute sum of the differences.
|
|
|
|
M_CORRELATE |
Computes a grayscale correlation.
|
|
|
|
M_CORRELATE_NORMALIZED |
Computes a normalized grayscale correlation.
|
|
|
M_MODEL_IMAGE |
Sets the image buffer containing the model image.
(summarize)
Sets the image buffer containing the model
image.
(more details...)
|
|
|
|
ModelImageId |
Specifies the identifier of the image buffer containing the
model image. Note that this buffer must be an 8-bit unsigned image
buffer.
This image buffer must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error.
(summarize)
Specifies the identifier of the image buffer
containing the model image.
(more
details...)
|
|
|
M_MODEL_STEP |
Sets whether to use every pixel or every other pixel in the
model image when matching the source image to the model image.
INQ
(summarize)
Sets whether to use every pixel or every other pixel
in the model image when matching the source image to the model
image. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as 1.
|
|
|
|
1 |
Specifies to take every pixel (on both axes) to compute the
match.
|
|
|
|
2 |
Specifies to take every other pixel (on both axes) to compute
the match.
|
|
|
M_SCORE_TYPE |
Sets how to compute the final correlation score. Note that this
control type is only used when performing a match using normalized
grayscale correlation mode (using M_MODE set
to M_CORRELATE_NORMALIZED). INQ
(summarize)
Sets how to compute the final correlation score.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_NORM_CLIP_SQR.
|
|
|
|
M_NORM |
Specifies to use normalized grayscale correlation to compute the
final match score.
|
|
|
|
M_NORM_CLIP |
Specifies to clip the results from a normalized grayscale
correlation when computing the final correlation score. The
calculation used is the same as M_NORM, but any value less than 0 is clipped (that
is, recorded as 0).
(summarize)
Specifies to clip the results from a normalized
grayscale correlation when computing the final correlation
score.
(more
details...)
|
|
|
|
M_NORM_CLIP_SQR |
Specifies to clip the results from the square of the normalized
grayscale correlation when computing the final correlation score.
The calculation used is the same as M_SQR_NORM, but any value less than 0 is clipped
(that is, recorded as 0).
(summarize)
Specifies to clip the results from the square of the
normalized grayscale correlation when computing the final
correlation score.
(more
details...)
|
|
|
|
M_SQR_NORM |
Specifies to use the square of the normalized grayscale
correlation to compute the final correlation score.
|
|
Rearrangement image
processing context ID |
|
|
|
M_MODE |
Sets the processing mode. INQ
(summarize)
Sets the processing mode. INQ
(more details...)
|
|
|
|
M_LINES |
Specifies that each area to be rearranged is a single horizontal
line.
|
|
|
|
M_RECTS |
Specifies that each area to be rearranged is a single
rectangle.
|
|
Statistics image
processing context ID |
Specifies a statistics image processing context, allocated using
MimAlloc() with
M_STATISTICS_CONTEXT, and used by MimStatCalculate() as
the operation to perform.
Note, use multiple calls to this function to enable multiple
statistical operations. Enabling fewer statistics will help
increase the speed of the operation.
(summarize)
|
|
|
M_COND_HIGH |
Sets the upper limit of the selected condition (set using
M_CONDITION) that establishes which pixels to
include in the statistical operation(s). INQ
(summarize)
Sets the upper limit of the selected condition (set
using M_CONDITION) that establishes which pixels to
include in the statistical operation(s). INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_DISABLE.
|
|
|
|
M_DISABLE |
Specifies that there is no upper limit.
|
|
|
|
Value |
Specifies the upper limit.
|
|
|
M_COND_LOW |
Sets the lower limit of the selected condition (set using
M_CONDITION) that establishes which pixels to
include in the statistical operation(s). INQ
(summarize)
Sets the lower limit of the selected condition (set
using M_CONDITION) that establishes which pixels to
include in the statistical operation(s). INQ
(more details...)
|
|
|
|
Value |
Specifies the lower limit.
|
|
|
M_CONDITION |
Sets the condition for the statistical computation that
establishes which pixels to include in the statistical
operation(s). INQ
(summarize)
Sets the condition for the statistical computation
that establishes which pixels to include in the statistical
operation(s). INQ
(more details...)
|
|
|
|
M_DEFAULT |
Same as M_DISABLE.
|
|
|
|
M_DISABLE |
Specifies that no condition is set. Note that, all pixels will
be used for statistical calculations.
(summarize)
Specifies that no condition is set.
(more
details...)
|
|
|
|
M_EQUAL |
Specifies that only pixels with values equal to M_COND_LOW will be used for statistical
calculations.
|
|
|
|
M_GREATER |
Specifies that only pixels with values greater than M_COND_LOW will be used for statistical
calculations.
|
|
|
|
M_GREATER_OR_EQUAL |
Specifies that only pixels with values greater than or equal to
M_COND_LOW will be used for statistical
calculations.
|
|
|
|
M_IN_RANGE |
Specifies that pixels with values between M_COND_LOW and M_COND_HIGH, inclusive, will be used for
statistical calculations.
|
|
|
|
M_LESS |
Specifies that only pixels with values less than M_COND_LOW will be used for statistical
calculations.
|
|
|
|
M_LESS_OR_EQUAL |
Specifies that only pixels with values less than or equal to
M_COND_LOW will be used for statistical
calculations.
|
|
|
|
M_NOT_EQUAL |
Specifies that pixels with values equal to M_COND_LOW will be not used for statistical
calculations.
|
|
|
|
M_OUT_RANGE |
Specifies that pixels with values less than M_COND_LOW, or greater than and M_COND_HIGH, will be used for statistical
calculations.
|
|
|
M_GLCM_PAIR_OFFSET_X |
Sets the displacement in X between pixel pairs used to generate
the co-occurrence matrix.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the displacement in X between pixel pairs used
to generate the co-occurrence matrix. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 1.
|
|
|
|
Value |
Specifies the displacement in X.
|
|
|
M_GLCM_PAIR_OFFSET_Y |
Sets the displacement in Y between pixel pairs used to generate
the co-occurrence matrix.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the displacement in Y between pixel pairs used
to generate the co-occurrence matrix. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 0.
|
|
|
|
Value |
Specifies displacement in Y.
|
|
|
M_GLCM_QUANTIFICATION |
Sets the depth of the gray level of the co-occurrence
matrix.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the depth of the gray level of the
co-occurrence matrix. INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the default value; the default value is 8 bit.
|
|
|
|
1 <= Value <=
10 |
Species the depth. If the depth is set to a value greater than
10, the co-occurrence matrix is rescaled to 10 bits.
(summarize)
Species the depth.
(more
details...)
|
|
|
M_ORIENTATION_DATA_COHERENCE |
Calculates the coherence of the orientation data. The coherence
represents the directional trend of all the orientation data in the
image and is a measure of how coherent or parallel the orientation
of the unit vectors are with respect to each other. The coherence
is calculated as the ratio between the length (norm) of the vector
sum and its maximum possible length (which corresponds to the
number of pixels being considered, since each pixel is presumed to
have a length of one). Numerically, this quantity lies between 0
and 1, where 0 represents absolutely no coherence (unit vectors
pointing in random directions) and 1 is total coherence (unit
vectors pointing in same direction).
(summarize)
Calculates the coherence of the orientation
data.
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_SOURCE_SIZE_X |
Sets the X-size of the typical source image. Note that, you
should set this control only when using MimStatCalculate() with M_PREPROCESS, and when not providing a source
buffer. INQ
(summarize)
Sets the X-size of the typical source image.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the width is not set.
|
|
|
|
Width |
Specifies the width, in pixels.
|
|
|
M_SOURCE_SIZE_Y |
Sets the Y-size of the typical source image. Note that, you
should use this control only when using MimStatCalculate() with M_PREPROCESS, and when not providing a source
buffer. INQ
(summarize)
Sets the Y-size of the typical source image.
INQ
(more details...)
|
|
|
|
M_DEFAULT |
Specifies the height is not set.
|
|
|
|
Height |
Specifies the height, in pixels.
|
|
|
M_STAT_ANGULAR_DATA_COHERENCE |
Calculates the coherence of the angular data. The coherence
represents the directional trend of all the angular data in the
image and is a measure of how coherent or parallel the unit vectors
are with respect to each other. The coherence is calculated as the
ratio between the length (norm) of the vector sum and its maximum
possible length (which corresponds to the number of pixels being
considered, since each pixel is presumed to have a length of one).
Numerically, this quantity lies between 0 and 1, where 0 represents
absolutely no coherence (unit vectors pointing in random
directions) and 1 is total coherence (unit vectors pointing in same
direction). INQ
(summarize)
Calculates the coherence of the angular data.
INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_ANGULAR_DATA_MEAN |
Sets whether to calculate the dominant direction of the unit
vectors. This angle is a representation of the mean (or average)
angle of all the angular data.
Note that to obtain more representative results, the mean angle
should be analyzed in context with the coherence. For example, if
your image has a coherence of 0.1 and a mean angle of 65°, the mean
angle is not very meaningful because the unit vectors are pointing
in random, incoherent directions. However, if your image has a
coherence of 0.9 and a mean angle of 65°, this indicates that the
unit vectors are more or less pointing in the same direction and
their average value is around 65°. INQ
(summarize)
Sets whether to calculate the dominant direction of
the unit vectors. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_CONTRAST |
Sets whether to calculate the contrast of all the grayscale
pixel values within a specified neighborhood in relation to the
normalized co-occurrence probability of each pixel.
Define the neighborhood using M_GLCM_PAIR_OFFSET_X, M_GLCM_PAIR_OFFSET_Y, M_GLCM_QUANTIFICATION, M_TILE_SIZE_X, and M_TILE_SIZE_Y.
Note that the image on which the
calculation is performed must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error. INQ
(summarize)
Sets whether to calculate the contrast of all the
grayscale pixel values within a specified neighborhood in relation
to the normalized co-occurrence probability of each pixel.
INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_CORRELATION |
Sets whether to measure the local variations in the
grayscale co-occurrence matrix. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_DISSIMILARITY |
Sets whether to measures the joint probability co-occurrence.
The result determines how close your data comes to forming a
straight line.
Define the neighborhood using M_GLCM_PAIR_OFFSET_X, M_GLCM_PAIR_OFFSET_Y, M_GLCM_QUANTIFICATION, M_TILE_SIZE_X, and M_TILE_SIZE_Y.
Note that the image on which the
calculation is performed must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error. INQ
(summarize)
Sets whether to measures the joint probability
co-occurrence. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_ENERGY |
Sets whether to calculate the energy between two points in the
gray level co-occurrence matrix of a given neighborhood. The energy
is the pixel value of the cell divided by the sum of the value of
the cells in the neighborhood.
Define the neighborhood using M_GLCM_PAIR_OFFSET_X, M_GLCM_PAIR_OFFSET_Y, M_GLCM_QUANTIFICATION, M_TILE_SIZE_X, and M_TILE_SIZE_Y.
Note that the image on which the
calculation is performed must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error. INQ
(summarize)
Sets whether to calculate the energy between two
points in the gray level co-occurrence matrix of a given
neighborhood. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_ENTROPY |
Sets whether to calculate the inverse of the energy between two
points in the normalized co-occurrence probability of a specified
neighborhood.
Define the neighborhood using M_GLCM_PAIR_OFFSET_X, M_GLCM_PAIR_OFFSET_Y, M_GLCM_QUANTIFICATION, M_TILE_SIZE_X, and M_TILE_SIZE_Y.
Note that the image on which the
calculation is performed must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error. INQ
(summarize)
Sets whether to calculate the inverse of the energy
between two points in the normalized co-occurrence probability of a
specified neighborhood. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_GLCM_HOMOGENEITY |
Sets whether to calculate the similarity between the normalized
co-occurrence probability and the gray level co-occurrence matrix
of a given neighborhood. Homogeneity weighs values by the inverse
of the contrast weight, with weights decreasing exponentially away
from the diagonal.
Define the neighborhood using M_GLCM_PAIR_OFFSET_X, M_GLCM_PAIR_OFFSET_Y, M_GLCM_QUANTIFICATION, M_TILE_SIZE_X, and M_TILE_SIZE_Y.
Note that the image on which the
calculation is performed must not have a region of interest (ROI)
associated with it. Using an image buffer with an ROI will cause an
error. INQ
(summarize)
Sets whether to calculate the similarity between the
normalized co-occurrence probability and the gray level
co-occurrence matrix of a given neighborhood. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_MAX |
Sets whether to calculate the maximum pixel value from each
pixel location across the source image. INQ
(summarize)
Sets whether to calculate the maximum pixel value
from each pixel location across the source image. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_MAX_ABS |
Sets whether to calculate the maximum absolute pixel value from
each pixel location across the source image. INQ
(summarize)
Sets whether to calculate the maximum absolute pixel
value from each pixel location across the source image.
INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_MEAN |
Sets whether to calculate the mean value of the pixel value from
each pixel location across the source image. INQ
(summarize)
Sets whether to calculate the mean value of the
pixel value from each pixel location across the source image.
INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_MIN |
Sets whether to calculate the minimum pixel value from each
pixel location across the source image. INQ
(summarize)
Sets whether to calculate the minimum pixel value
from each pixel location across the source image. INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
|
|
|
M_STAT_MIN_ABS |
Sets whether to calculate the minimum absolute pixel value from
each pixel location across the source image. INQ
(summarize)
Sets whether to calculate the minimum absolute pixel
value from each pixel location across the source image.
INQ
(more details...)
|
|
|
|
M_DISABLE |
Specifies not to perform this statistical operation.
|
|
|
|
M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_NUMBER |
Sets whether to keep track of the number of pixels, from the
source image, that satisfied the condition specified when calling
MimStatCalculate(). INQ
(summarize)
Sets whether to keep track of the number of pixels,
from the source image, that satisfied the condition specified when
calling MimStatCalculate(). INQ
(more details...)
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M_DISABLE |
Specifies not to keep track.
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M_ENABLE |
Specifies to keep track.
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M_STAT_ORIENTATION_DATA_MEAN |
Sets whether to calculate the dominant orientation of the unit
vectors. The orientation of a unit vector is its inclination,
without its direction; if two unit vectors have opposite directions
(for example, an angle of 0° and 180°), they have the same
orientation (0°). Calculating the dominant orientation using unit
vectors with opposite directions (0° and 180°) would result in the
magnitude of their vector sum being double the original value (2)
and a dominant orientation of 0°. Whereas, calculating the dominant
orientation using two unit vectors that are separated by 90° (for
example, an angle of 0° and 90°) would result in the magnitude of
their vector sum being 0, effectively canceling each other out (no
dominant orientation), and an invalid orientation angle.
INQ
(summarize)
Sets whether to calculate the dominant orientation
of the unit vectors. INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_STANDARD_DEVIATION |
Sets whether to calculate the standard deviation from the value
of each pixel location across the source image. Note that MIL
calculates the standard deviation using the following formula:
INQ
(summarize)
Sets whether to calculate the standard deviation
from the value of each pixel location across the source image.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_SUM |
Sets whether to calculate the sum of the pixel values from each
pixel location across the source image. INQ
(summarize)
Sets whether to calculate the sum of the pixel
values from each pixel location across the source image.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STAT_SUM_ABS |
Sets whether to calculate the sum of the squared pixel values
from each pixel location across the source image. INQ
(summarize)
Sets whether to calculate the sum of the squared
pixel values from each pixel location across the source image.
INQ
(more details...)
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M_DISABLE |
Specifies not to perform this statistical operation.
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M_ENABLE |
Specifies to perform this statistical operation.
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M_STEP_SIZE_X |
Sets the distance between the neighborhood along the X-axis in
which to evaluate the specified statistic.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the distance between the neighborhood along the
X-axis in which to evaluate the specified statistic. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.
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Width |
Specifies the width of the neighborhood, in pixels.
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M_STEP_SIZE_Y |
Sets the distance between the neighborhood along the Y-axis in
which to evaluate the specified statistic.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the distance between the neighborhood along the
Y-axis in which to evaluate the specified statistic. INQ
(more details...)
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M_DEFAULT |
Specifies the default value; the default value is 0.
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Height |
Specifies the height of the neighborhood, in pixels.
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M_TILE_SIZE_X |
Sets the X-size (width) of neighborhood in which to evaluate the
specified statistic.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the X-size (width) of neighborhood in which to
evaluate the specified statistic. INQ
(more details...)
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Width |
Specifies the width of the neighborhood.
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M_TILE_SIZE_Y |
Sets the Y-size (width) of neighborhood in which to evaluate the
specified statistic.
Note that this control type is only valid when calculating
co-occurrence statistics (M_GLCM_...). When used with any other statistic,
this control type is ignored. INQ
(summarize)
Sets the Y-size (width) of neighborhood in which to
evaluate the specified statistic. INQ
(more details...)
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Height |
Specifies the height of the neighborhood.
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Wavelet image
processing context ID |
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M_TRANSFORMATION_MODE |
Sets the wavelet transformation mode. Modifying the
transformation mode can affect how MIL samples the data and
produces the wavelet results (for example, the diagonal,
horizontal, and vertical coefficients). INQ
(summarize)
Sets the wavelet transformation mode. INQ
(more details...)
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M_DEFAULT |
Same as
M_DYADIC.
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M_DYADIC |
Specifies a dyadic wavelet transformation. For each
transformation level, MIL samples the wavelet coefficients by a
factor of 2. For example, when drawing dyadic results, they are at
different sizes, at different levels. Dyadic transformations
generally apply to signal coding and data compression. Performing
MimWaveletDenoise() with M_DYADIC is typically faster than M_UNDECIMATED, though the quality of denoising
is usually lower. In general, M_DYADIC uses less resources (processing time
and memory) than M_UNDECIMATED.
(summarize)
Specifies a dyadic wavelet transformation.
(more
details...)
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M_UNDECIMATED + |
Specifies an undecimated wavelet transformation. Such
transformations are designed to overcome the lack of invariance
between transformation levels in dyadic wavelet transformations.
For example, when drawing undecimated results, they are at the same
size regardless of the level. Undecimated transformations generally
apply to signal denoising and pattern recognition. Performing
MimWaveletDenoise() with M_UNDECIMATED is typically slower than
M_DYADIC, though the quality of denoising is
usually higher. In general, M_UNDECIMATED uses more resources (processing
time and memory) than M_DYADIC.
(summarize)
Specifies an undecimated wavelet transformation.
(more
details...)
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M_WAVELET_TYPE |
Sets a predefined type of wavelet filter. Only available if the
context type is M_WAVELET_TRANSFORM_CONTEXT. The mathematical
domain of complex filter types (M_..._COMPLEX) consists of numbers that have a
real part (real numbers) and an imaginary part (imaginary numbers).
The mathematical domain of filter types that are not complex
consist of real numbers only. INQ
(summarize)
Sets a predefined type of wavelet filter.
INQ
(more details...)
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M_DEFAULT |
Same as M_HAAR.
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M_DAUBECHIES_1 |
Specifies a Daubechies wavelet filter that uses 1 vanishing
moment and real coefficients.
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M_DAUBECHIES_2 |
Specifies a Daubechies wavelet filter that uses 2 vanishing
moments and real coefficients.
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M_DAUBECHIES_3 |
Specifies a Daubechies wavelet filter that uses 3 vanishing
moments and real coefficients.
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M_DAUBECHIES_3_COMPLEX |
Specifies a Daubechies wavelet filter that uses 3 vanishing
moments and complex coefficients.
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M_DAUBECHIES_4 |
Specifies a Daubechies wavelet filter that uses 4 vanishing
moments and real coefficients.
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M_DAUBECHIES_5 |
Specifies a Daubechies wavelet filter that uses 5 vanishing
moments and real coefficients.
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M_DAUBECHIES_5_COMPLEX |
Specifies a Daubechies wavelet filter that uses 5 vanishing
moments and complex coefficients.
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M_DAUBECHIES_6 |
Specifies a Daubechies wavelet filter that uses 6 vanishing
moments and real coefficients.
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M_DAUBECHIES_7 |
Specifies a Daubechies wavelet filter that uses 7 vanishing
moments and real coefficients.
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M_DAUBECHIES_7_COMPLEX |
Specifies a Daubechies wavelet filter that uses 7 vanishing
moments and complex coefficients.
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M_DAUBECHIES_8 |
Specifies a Daubechies wavelet filter that uses 8 vanishing
moments and real coefficients.
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M_HAAR |
Specifies a Haar wavelet filter. Haar uses real
coefficients.
(summarize)
Specifies a Haar wavelet filter.
(more
details...)
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M_SYMLET_1 |
Specifies a Symlet wavelet filter that uses 1 vanishing moment
and real coefficients.
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M_SYMLET_2 |
Specifies a Symlet wavelet filter that uses 2 vanishing moments
and real coefficients.
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M_SYMLET_3 |
Specifies a Symlet wavelet filter that uses 3 vanishing moments
and real coefficients.
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M_SYMLET_4 |
Specifies a Symlet wavelet filter that uses 4 vanishing moments
and real coefficients.
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M_SYMLET_5 |
Specifies a Symlet wavelet filter that uses 5 vanishing moments
and real coefficients.
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M_SYMLET_6 |
Specifies a Symlet wavelet filter that uses 6 vanishing moments
and real coefficients.
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M_SYMLET_7 |
Specifies a Symlet wavelet filter that uses 7 vanishing moments
and real coefficients.
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M_SYMLET_8 |
Specifies a Symlet wavelet filter that uses 8 vanishing moments
and real coefficients.
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Availability
Function
map 
