Chapter 4: Advanced image processing

This chapter describes different advanced image processing techniques.

• Advanced image processing in general
• Custom spatial filters
• • Finite Impulse Response (FIR) filters
  • Infinite Impulse Response (IIR) filters
  • A summary
  • An example
• Custom morphological operations
• • Defining your own structuring element
  • Erosion and dilation
  • • Using standard erosion and dilation
    • An example
  • Thinning and thickening
  • Top and bottom hat
  • Matching
  • Searching for hits or misses
• Connectivity mapping
• • Using the connectivity code
  • Locating different types of points
  • Example
• Peak intensity detection and depth maps
• • Setting up peak intensity detection
  • Generating an uncorrected depth map
  • Multiple peaks in a single lane
• Fast Fourier Transform
• • Magnitude and phase
  • Filtering an image
• Finding dominant image orientations
• • Customizing your find orientation image processing context
  • Using the find orientation image processing results
  • An example
• Watershed transformations
• • Using watersheds to separate touching objects
  • Using watersheds to separate objects from their background
  • Minimum grayscale variation of a catchment basin
  • Using marker images
  • • Non-labeled marker images
    • Labeled marker images
  • Style of the watershed lines
  • Exact versus straight
  • Skipping the last level
  • Filling the source
• Polar-to-rectangular and rectangular-to-polar transforms
• Warping
• • First-order polynomial warpings
  • Perspective polynomial warpings
  • Custom warpings
  • Interpolation modes
  • Points outside the source buffer
• Discrete Cosine Transform
• Deinterlacing
• • Discard algorithm on the entire image
  • Averaging algorithm on the entire image
  • Bob algorithm on the entire image
  • Adaptive algorithms
• Correcting dead pixels
• Removing CCD artifacts from grabbed images
• • How to perform a flat-field correction
  • Electrical bias (offset image or constant)
  • Thermal agitation (dark image or constant)
  • CCD sensitivity (flat image or constant)
  • Gain
• Establishing a correlation
• Rearranging areas in your grabbed image
• Removing uneven lighting from grabbed images
• • How to remove non-uniform lighting from grabbed images
• Transform and denoise images using wavelets
• • Wavelet context
  • • Filters
    • Operation mode
  • Wavelet transformations
  • • Results and drawings
  • Wavelet denoising