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f Computer and Machine Vision_ Theory, Algorithms, Practicalities (4th ed)

 Computer and Machine Vision_ Theory, Algorithms, Practicalities (4th ed)

Author: Davies [2012-03-19]

 Computer and Machine Vision_ Theory, Algorithms, Practicalities (4th ed)

  1. Vision, the Challenge
  2. Images and Imaging Operations
  3. Basic Image Filtering Operations
  4. Thresholding Techniques
  5. Edge Detection
  6. Corner and Interest Point Detection
  7. Mathematical Morphology
  8. Texture
  9. Binary Shape Analysis
  10. Boundary Pattern Analysis
  11. Line Detection
  12. Circle and Ellipse Detection
  13. The Hough Transform and Its Nature
  14. Pattern Matching Techniques
  15. The Three-Dimensional World
  16. Tackling the Perspective n-point Problem
  17. Invariants and Perspective
  18. Image Transformations and Camera Calibration
  19. Motion
  20. Automated Visual Inspection
  21. Inspection of Cereal Grains
  22. Surveillance
  23. In-Vehicle Vision Systems
  24. Statistical Pattern Recognition
  25. Image Acquisition
  26. Real-Time Hardware and Systems DesignConsiderations
  27. Epilogue—Perspectives in Vision