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
Please Note: This is an On Demand product, delivery may take up to 11 working days after payment has been received.
Table of Contents
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. Abstract 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 Systems24 Statistical Pattern Recognition 25. Image Acquisition 26. Real-Time Hardware and Systems Design Considerations 27. Epilogue Perspectives in Vision Appendix Robust statistics
