Machine Vision, Volume 1

Front Cover
Cambridge University Press, Jan 8, 2004 - Computers - 434 pages
This 2004 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. The authors begin with a review of mathematical principles and go on to discuss key issues in image processing such as the description and characterization of images, edge detection, restoration and feature extraction, segmentation, texture and shape. They also discuss image matching, statistical pattern recognition, clustering, and syntactic pattern recognition. Important applications are described, including optical character recognition and automatic target recognition. Software and data used in the book can be found at www.cambridge.org/9780521830461. A useful reference for practitioners, the book is aimed at graduate students in electrical engineering, computer science and mathematics.
 

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Contents

Introduction
1
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
Consistent labeling
263
Parametric transforms
275
Graphs and graphtheoretic concepts
290
Image matching
298
Topic 13A Matching
312
Statistical pattern recognition
326
Topic 14A Statistical pattern recognition
347
Clustering
356

Topic 6A Alternative and equivalent algorithms
129
Mathematical morphology
144
Topic 7A Morphology
158
Segmentation
181
Topic 8A Segmentation
207
Shape
216
Topic 9A Shape description
240
Syntactic pattern recognition
369
Applications
382
Automatic target recognition
392
Author index
417
Index
426
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About the author (2004)

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.