UID:
almahu_9948595854902882
Format:
1 online resource (973 p.)
Edition:
3rd ed.
ISBN:
1-281-22725-0
,
9786611227258
,
0-08-047324-5
Series Statement:
Signal Processing and its Applications
Content:
In the last 40 years, machine vision has evolved into a mature field embracing a wide range of applications including surveillance, automated inspection, robot assembly, vehicle guidance, traffic monitoring and control, signature verification, biometric measurement, and analysis of remotely sensed images. While researchers and industry specialists continue to document their work in this area, it has become increasingly difficult for professionals and graduate students to understand the essential theory and practicalities well enough to design their own algorithms and systems. This book directl
Note:
Previous ed.: 1996.
,
Front Cover; Machine Vision: Theory, Algorithms, Practicalities; Copyright Page; Contents; Foreword; Preface; Acknowledgments; CHAPTER 1. Vision, the Challenge; 1.1 Introduction-The Senses; 1.2 The Nature of Vision; 1.3 From Automated Visual Inspection to Surveillance; 1.4 What This Book Is About; 1.5 The Following Chapters; 1.6 Bibliographical Notes; PART 1: Low-Level Vision; CHAPTER 2. Images and Imaging Operations; 2.1 Introduction; 2.3 Convolutions and Point Spread Functions; 2.4 Sequential versus Parallel Operations; 2.5 Concluding Remarks; 2.6 Bibliographical and Historical Notes
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2.7 ProblemsCHAPTER 3. Basic Image Filtering Operations; 3.1 Introduction; 3.2 Noise Suppression by Gaussian Smoothing; 3.3 Median Filters; 3.4 Mode Filters; 3.5 Rank Order Filters; 3.6 Reducing Computational Load; 3.7 Sharp-Unsharp Masking; 3.8 Shifts Introduced by Median Filters; 3.9 Discrete Model of Median Shifts; 3.10 Shifts Introduced by Mode Filters; 3.11 Shifts Introduced by Mean and Gaussian Filters; 3.12 Shifts Introduced by Rank Order Filters; 3.13 The Role of Filters in Industrial Applications of Vision; 3.14 Color in Image Filtering; 3.15 Concluding Remarks
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3.16 Bibliographical and Historical Notes3.17 Problems; CHAPTER 4. Thresholding Techniques; 4.1 Introduction; 4.2 Region-growing Methods; 4.3 Thresholding; 4.4 Adaptive Thresholding; 4.5 More Thoroughgoing Approaches to Threshold Selection; 4.6 Concluding Remarks; 4.7 Bibliographical and Historical Notes; 4.8 Problems; CHAPTER 5. Edge Detection; 5.1 Introduction; 5.2 Basic Theory of Edge Detection; 5.3 The Template Matching Approach; 5.4 Theory of 3 X 3 Template Operators; 5.5 Summary-Design Constraints and Conclusions; 5.6 The Design of Differential Gradient Operators
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5.7 The Concept of a Circular Operator5.8 Detailed Implementation of Circular Operators; 5.9 Structured Bands of Pixels in Neighborhoods of Various Sizes; 5.10 The Systematic Design of Differential Edge Operators; 5.11 Problems with the above Approach-Some Alternative Schemes; 5.12 Concluding Remarks; 5.13 Bibliographical and Historical Notes; 5.14 Problems; CHAPTER 6. Binary Shape Analysis; 6.1 Introduction; 6.2 Connectedness in Binary Images; 6.3 Object Labeling and Counting; 6.4 Metric Properties in Digital Images; 6.5 Size Filtering; 6.6 The Convex Hull and Its Computation
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6.7 Distance Functions and Their Uses6.8 Skeletons and Thinning; 6.9 Some Simple Measures for Shape Recognition; 6.10 Shape Description by Moments; 6.11 Boundary Tracking Procedures; 6.12 More Detail on the Sigma and Chi Functions; 6.13 Concluding Remarks; 6.14 Bibliographical and Historical Notes; 6.15 Problems; CHAPTER 7. Boundary Pattern Analysis; 7.1 Introduction; 7.2 Boundary Tracking Procedures; 7.3 Template Matching-A Reminder; 7.4 Centroidal Profiles; 7.5 Problems with the Centroidal Profile Approach; 7.6 The (s,y ) Plot; 7.7 Tackling the Problems of Occlusion; 7.8 Chain Code
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7.9 The (r, s) Plot
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English
Additional Edition:
ISBN 0-12-206093-8
Language:
English
