Machine Vision, Volume 1

Wesley E. Snyder, Hairong Qi

Cambridge University Press, Jan 8, 2004 - Computers - 434 pages

This book is an accessible and comprehensive introduction to machine vision. It provides all the necessary theoretical tools and shows how they are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises that give insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is included. The book is aimed at graduate students in electrical engineering, computer science, and mathematics. It will also be a useful reference for practitioners.

Contents

• Review of mathematical principles: 8
• Writing programs to process images: 29
• Formation and representation: 38
• Topic 4A Image representations: 57
• Linear operators and kernels: 65
• Topic 5A Edge detectors: 97
• Restoration and feature extraction: 107
• Topic 6A Alternative and equivalent algorithms: 129
• Mathematical morphology: 144
• Topic 7A Morphology: 158
• Segmentation: 181
• Topic 8A Segmentation 207 Topic 8A Segmentation: 207
• Shape: 216
• Topic 9A Shape description: 240
• Consistent labeling: 263
• Parametric transforms: 275
• Graphs and graphtheoretic concepts: 290
• Image matching: 298
• Matching: 312
• Statistical pattern recognition: 326
• Statistical pattern recognition: 347
• Clustering: 356
• Syntactic pattern recognition: 369
• Applications: 382
• Automatic target recognition: 392
• Author index: 417
• Index: 426

About the author

Hairong Qi received her PhD from North Carolina State University and is currently an Assistant Professor of Electrical and Computer Engineering at the University of Tennessee, Knoxville.

Bibliographic information

• Title: Machine Vision, Volume 1; Machine Vision, Wesley E. Snyder
• Authors: Wesley E. Snyder, Hairong Qi
• Edition: illustrated, reprint
• Publisher: Cambridge University Press, 2004
• ISBN: 052183046X, 9780521830461
• Length: 434 pages
• Subjects: Computers / Artificial Intelligence / Computer Vision & Pattern Recognition; Computers / Optical Data Processing; Computers / Software Development & Engineering / Computer Graphics; Mathematics / Applied; Technology & Engineering / Electrical; Technology & Engineering / Electronics / General; Technology / Engineering / Electrical