Handbook of Pattern Recognition and Computer Vision

By: C. H. Chen (Editor), L. F. Pau (Editor), P. S. P. Wang (Editor)

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Hardcover | 1 August 1993

At a Glance

Hardcover
996 Pages

Dimensions(cm)
26.04 x 17.15 x 4.45

New Edition

Published: 15th March 1999

Hardcover

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Pattern recognition, image processing and computer vision are closely linked areas which have seen enormous progress in the last fifty years. Their applications in our daily life, commerce and industry are growing even more rapidly than theoretical advances. Hence, the need for a new handbook in pattern recognition and computer vision every five or six years as envisioned in 1990 is fully justified and valid.The book will have three parts: (1) Pattern recognition methods and applications; (2) Computer vision and image processing; and (3) Systems, architecture and technology. This book is intended to capture the major developments in pattern recognition and computer vision though it is impossible to cover all topics.The chapters are written by experts from many countries, fully reflecting the strong international research interests in the areas. This fifth edition will complement the previous four editions of the book.

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Non-Fiction Computing & I.T.Computer Science Artificial Intelligence Computer Vision Pattern Recognition Image Processing Booktopia Publisher Services World Scientific Publishing

Preface
Basic Methods in Pattern Recognition
Cluster Analysis and Related Issues	p. 3
Statistical Pattern Recognition	p. 33
Large-Scale Feature Selection	p. 61
On Automatic Feature Selection	p. 63
A Note on Genetic Algorithms for Large-Scale Feature Selection	p. 88
Constrained Genetic Optimization Via Dynamic Reward-Penalty Balancing and Its Use in Pattern Recognition	p. 108
Neural Net Computing for Pattern Recognition	p. 125
Structural and Syntactic Pattern Recognition	p. 163
A Formal Parallel Model for Three-Dimensional Object Pattern Representation	p. 211
Basic Methods in Computer Vision
Texture Analysis	p. 235
Model-Based Texture Segmentation and Classification	p. 277
Color in Computer Vision	p. 311
Projective Geometry and Computer Vision	p. 369
3-D Motion Analysis from Image Sequences Using Point Correspondences	p. 395
Segmentation Tools in Mathematical Morphology	p. 443
Parallel Thinning Algorithm for Binary Digital Patterns	p. 457
Recognition Applications
Pattern Recognition in Nondestructive Evaluation of Materials	p. 493
Pattern Recognition in Geophysical Signal Processing and Interpretation	p. 511
Signal Transient Analyses and Classification Techniques	p. 541
Analysis of Economic and Business Information	p. 569
Optical Handwritten Chinese Character Recognition	p. 595
Automatic Analysis and Understanding of Documents	p. 625
Pattern Recognition and Visualization of Sparsely Sampled Biomedical Signals	p. 655
Understanding Microvessels in Two and Three Dimensions	p. 667
Inspection and Robotics Applications
Computer Vision in Food Handling and Sorting	p. 697
Image Information Retrieval Systems	p. 719
Context Related Issues in Image Understanding	p. 741
Positional Estimation Techniques for An Autonomous Mobile Robot - A Review	p. 769
Architectures and Technology
Vision Engineering: Designing Computer Vision Systems	p. 805
Optical Pattern Recognition for Computer Vision	p. 817
Spatial Knowledge Representation for Iconic Image Database	p. 839
Viewer-Centered Representations in Object Recognition: A Computational Approach	p. 863
Connectionist Architectures in Low Level Image Segmentation	p. 883
Architectures for Image Processing and Computer Vision	p. 921
Image Information Systems: Where Do We Go from Here?	p. 941
Subject Index	p. 967
Table of Contents provided by Blackwell. All Rights Reserved.

Handbook of Pattern Recognition and Computer Vision

At a Glance

New Edition

Hardcover

Shipping

How to return your order

Defective items

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