Chapter 19: Color processing and analysis

• See also
No related topics
Availability
Available in MIL-Lite with restrictions


Available in MIL
Previous
Next

This chapter explains how to use the MIL Color Analysis module to perform color-based procedures such as color transformation using relative color calibration, color matching, projection, and distance. This chapter also explains how to process color images and convert colors to different color spaces.

• Color processing and analysis overview
• Basic concepts for the MIL Color Analysis module
• Color spaces and converting between them
• • Color spaces
  • • RGB
    • HSL
    • HSV
    • CIELAB
  • Source color space
  • Converting between color spaces
  • • Normalizing the RGB color space
    • Reference color space
    • Gamma correction
• Relative color calibration
• • Steps to performing relative color calibration
  • Color-samples and color elements
  • • Reference color-sample
  • Operation mode
  • • Histogram-based
    • Color-to-color
    • Global mean variance
  • Color calibration intent
  • Computation option
  • Selecting strategy
• Converting to grayscale
• • Extracting the luminance
  • Principal component projection
  • • Using a principal component projection for converting to grayscale
• Distance between colors
• • Differences in distances
  • Color distance types
  • • Euclidean distance
    • Manhattan distance
    • Mahalanobis distance
    • Delta-E distance
    • Advanced CIE distance types
  • Choosing a distance type
• Color matching
• • Steps to performing color matching
  • Basics of color matching
  • • Color identification
    • Supervised color segmentation
  • Defining and adding color-samples and color elements
  • Area identifier image
  • Acceptance
  • • Color-sample acceptance (for the color-sample's match score)
    • Relevance acceptance (for the target area's relevance score)
  • Distance tolerance
  • • Tolerance mode
  • Operation mode and distance type
  • • M_STAT_MIN_DIST operation mode
    • M_MIN_DIST_VOTE operation mode
    • M_HISTOGRAM_MATCHING and M_HISTOGRAM_VOTE operation modes
  • Basic results
  • • Best-matched color-sample
    • Match status
    • Match score and relevance score
    • Outlier coverage and color-sample coverage
    • Color distance
  • Image results
  • • Target areas
    • Color-samples and color elements
    • Background and outliers
    • Inverting colors
• Advanced color matching settings and concepts
• • Color band specification settings
  • Distance normalization settings
  • Color space encoding
  • • Performing the encoding
  • Histogram matching concepts
• Color separation
• • Separation operation
• Color statistics
• • Covariance
  • • Principal components
  • Source label
• Color processing and analysis examples
• • Example of relative color calibration operations
  • Example of color processing operations