Chapter 7: Pattern matching

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This chapter explains how to use the MIL Pattern Matching module to perform normalized grayscale correlation (NGC) pattern matching.

• Pattern matching - in general
• Steps to performing a pattern search
• Basic concepts for the MIL Pattern Matching module
• Defining and adding models to your Pattern Matching context
• • Automatic models
  • Regular models
  • Drawing models
• Finding models when they are at an angle
• • Setting the angle of search
  • Determining the rotation tolerance of a model
• Masking the model
• Search constraints
• • Specifying the search mode
  • Specifying the number of matches
  • Setting the acceptance level
  • Setting the certainty level
  • Redefining the model's reference position
  • Selecting the search region
  • Positional accuracy
  • Selecting the speed setting
• Preprocessing the Pattern Matching context
• Speeding up the search
• • Choose the appropriate model
  • Adjust the search speed setting
  • Effectively choose the search region and search angle
• Pattern matching algorithm (for advanced users)
• • Normalized correlation
  • Hierarchical search
  • Search region
  • Search heuristics
  • Subpixel accuracy
• Pattern matching examples