| 40年来，机器视觉在各行各业得到了广泛的应用，包括自动检测、机器人组装、行车导引、流量监控、签名验证、生物测量、遥感图像分析等。但是另一方面，面对大量新的研究成果，要充分理解相关的理论和应用，进行算法和系统的设计，却越来越困难。 《机器视觉理论、算法与实践(英文版·第3版)》能够满足广大读者学习和掌握机器视觉知识的需求。全书图文并茂，清晰、系统地阐述了基本概念，提供了丰富的应用案例和代码，强调了算法和实用设计的各种约束条件。新版做了全面的更新，反映了最新进展，内容更加全面。《机器视觉理论、算法与实践(英文版·第3版)》是机器视觉课程的理想教材，已经成为国内外很多名校的指定教学参考书。同时，《机器视觉理论、算法与实践(英文版·第3版)》也是工程技术人员不可或缺的权威参考书。 |
| E.R.Davies，著名机器视觉专家。英国物理学会会士、IEE会士、英国机器视觉协会的执行委员。毕业于牛津大学，现任伦敦大学皇家霍洛威学院机器视觉教授。在机器视觉、图像分析、自动视觉检测、噪声抑制技术等方面有丰富的教学和科研经验。 |
| CHAPTER 1 Vision, the Challenge PART 1 LOW-LEVELVISION CHAPTER 2 Images and Imaging Operations CHAPTER 3 Basic Image Filtering Operations CHAPTER 4 Thresholding Techniques CHAPTER 5 Edge Detection CHAPTER 6 Binary Shape Analysis CHAPTER 7 Boundary Pattern Analysis CHAPTER 8 Mathematical Morphology PART 2 INTERMEDIATE-LEVELVISION CHAPTER 9 Line Detection CHAPTER 10 Circle Detection CHAPTER 11 The Hough Transform and Its Nature CHAPTER 12 Ellipse Detection CHAPTER 13 Hole Detection CHAPTER 14 Polygon and Corner Detection CHAPTER 15 Abstract Pattern Matching Techniques PART 3 3-DVISION AND MOTION 443 CHAPTER 16 The Three-dimensional World CHAPTER 17 Tackling the Perspective n-Point Problem CHAPTER 18 Motion CHAPTER 19 Invariants and Their Applications CHAPTER 20 Egomotion and Related Tasks CHAPTER 21 Image Transformations and Camera Calibration PART 4 TOWARD REAL-TIME PATTERN RECOGNITIONS YSTEMS CHAPTER 22 Automated Visual Inspection CHAPTER 23 Inspection of Cereal Grains CHAPTER 24 Statistical Pattern Recognition CHAPTER 25 Biologically Inspired Recognition Schemes CHAPTER 26 Texture CHAPTER 27 Image Acquisition CHAPTER 28 Real-time Hardware and Systems Design Considerations PART 5 PERSPECTIVES ON VISION CHAPTER 29 Machine Vision: Art or Science? APPENDIX Robust Statistics List of Acronyms and Abbreviations References Author Index Subject Index |
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