Algorithms for Image Processing and Computer Vision by Parker, J.R. -- Read -- Imperial Library of Trantor

Index

Cover Title Page Copyright Dedication Credits About the Author About the Technical Editor Acknowledgments Preface Chapter 1 Practical Aspects of a Vision System—Image Display, Input/Output, and Library Calls

OpenCV The Basic OpenCV Code Image Capture Interfacing with the AIPCV Library Website Files References

Chapter 2 Edge-Detection Techniques

The Purpose of Edge Detection Traditional Approaches and Theory Edge Models: The Marr-Hildreth Edge Detector The Canny Edge Detector The Shen-Castan (ISEF) Edge Detector A Comparison of Two Optimal Edge Detectors Color Edges Source Code for the Marr-Hildreth Edge Detector Source Code for the Canny Edge Detector Source Code for the Shen-Castan Edge Detector Website Files References

Chapter 3 Digital Morphology

Morphology Defined Connectedness Elements of Digital Morphology—Binary Operations Grey-Level Morphology Color Morphology Website Files References

Chapter 4 Grey-Level Segmentation

Basics of Grey-Level Segmentation The Use of Regional Thresholds Relaxation Methods Moving Averages Cluster-Based Thresholds Multiple Thresholds Website Files References

Chapter 5 Texture and Color

Texture and Segmentation A Simple Analysis of Texture in Grey-Level Images Grey-Level Co-Occurrence Edges and Texture Energy and Texture Surfaces and Texture Fractal Dimension Color Segmentation Color Textures Website Files References

Chapter 6 Thinning

What Is a Skeleton? The Medial Axis Transform Iterative Morphological Methods The Use of Contours Treating the Object as a Polygon Force-Based Thinning Source Code for Zhang-Suen/Stentiford/Holt Combined Algorithm Website Files References

Chapter 7 Image Restoration

Image Degradations—The Real World The Frequency Domain The Inverse Filter The Wiener Filter Structured Noise Motion Blur—A Special Case The Homomorphic Filter—Illumination Website Files References

Chapter 8 Classification

Objects, Patterns, and Statistics Minimum Distance Classifiers Cross Validation Support Vector Machines Multiple Classifiers—Ensembles Bagging and Boosting Website Files References

Chapter 9 Symbol Recognition

The Problem OCR on Simple Perfect Images OCR on Scanned Images—Segmentation OCR on Fax Images—Printed Characters Handprinted Characters The Use of Multiple Classifiers Printed Music Recognition—A Study Source Code for Neural Net Recognition System Website Files References

Chapter 10 Content-Based Search—Finding Images by Example

Searching Images Maintaining Collections of Images Features for Query By Example Spatial Considerations Additional Considerations Website Files References

Chapter 11 High-Performance Computing for Vision and Image Processing

Paradigms for Multiple-Processor Computation Execution Timing The Message-Passing Interface System A Shared Memory System—Using the PC Graphics Processor Finding the Needed Software Website Files References

Index