Machine Vision - Softcover

Snyder, Wesley E.

Softcover

ISBN 10: 052116981X ISBN 13: 9780521169813

Publisher: Cambridge University Press, 2006

Synopsis

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.

About this title

Book Description

This 2004 book is an 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 programming exercises that give insights into the development of practical image processing algorithms.

About the Author

Wesley Snyder received his PhD from the University of Illinois, and is currently Professor of Electrical and Computer Engineering at North Carolina State University. He has written over 100 scientific papers and is the author of the book Industrial Robots. He was a founder of both the IEEE Robotics and Automation Society and the IEEE Neural Networks Council. He has served as an advisor to the National Science Foundation, NASA, Sandia Laboratories, and the U.S. Army Research Office. 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.

Edition details

• Publisher: Cambridge University Press
• Publication date: 2006
• ISBN 10: 052116981X
• ISBN 13: 9780521169813
• Binding: Paperback
• Language: English
• Edition number: 1
• Number of pages: 452