Vision, the Challenge -- Low-level Vision -- Images and Imaging Operations -- Basic Image Filtering Operations -- Thresholding Techniques -- Edge Detection -- Corner and Interest Point Detection -- Mathematical Morphology -- Texture. Chapter 1. Part 1. Chapter 2. Chapter 3. Chapter 4. Chapter 5. Chapter 6. Chapter 7. Chapter 8. Intermediate-level Vision -- Binary Shape Analysis -- Boundary Pattern Analysis -- Line Detection -- Circle and Ellipse Detection -- The Hough Transform and Its Nature -- Pattern Matching Techniques. Part 2. Chapter 9. Chapter 10. Chapter 11. Chapter 12. Chapter 13. Chapter 14. 3-D Vision and Motion -- The Three-Dimensional World -- Tackling the Perspective n-point Problem -- Invariants and Perspective -- Image Transformations and Camera Calibration -- Motion. Part 3. Chapter 15. Chapter 16. Chapter 17. Chapter 18. Chapter 19. Toward Real-time Pattern Recognition Systems -- Automated Visual Inspection -- Inspection of Cereal Grains -- Surveillance -- In-Vehicle Vision Systems -- Statistical Pattern Recognition -- Image Acquisition -- Real-Time Hardware and Systems Design Considerations -- Epilogue--Perspectives in Vision -- Robust Statistics. Part 4. Chapter 20. Chapter 21. Chapter 22. Chapter 23. Chapter 24. Chapter 25. Chapter 26. Chapter 27. Appendix A.
"Computer and Machine Vision: Theory, Algorithms, Practicalities (previously entitled Machine Vision) clearly and systematically presents the basic methodology of computer and machine vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints. This fully revised fourth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date tutorial text suitable for graduate students, researchers and R & D engineers working in this vibrant subject. Key features include: Practical examples and case studies give the 'ins and outs' of developing real-world vision systems, giving engineers the realities of implementing the principles in practice; New chapters containing case studies on surveillance and driver assistance systems give practical methods on these cutting-edge applications in computer vision; Necessary mathematics and essential theory are made approachable by careful explanations and well-illustrated examples; Updated content and new sections cover topics such as human iris location, image stitching, line detection using RANSAC, performance measures, and hyperspectral imaging; The 'recent developments' section now included in each chapter will be useful in bringing students and practitioners up to date with the subject."--Publisher's description.
9780123869913 0123869919
Computer vision. Information visualization. COMPUTERS--Computer Vision & Pattern Recognition. Computer vision. Information visualization.