Machine Vision

by Wesley E. Snyder, Hairong Qi

Overview

Providing all the necessary theoretical tools, this comprehensive introduction to machine vision shows how these tools are applied in actual image processing and machine vision systems. A key feature is the inclusion of many programming exercises giving insights into the development of practical image processing algorithms. A CD-ROM containing software and data used in these exercises is also included. Aimed at graduate students in electrical engineering, computer science, and mathematics, the book will be a useful reference for professionals as well.

Product Details

ISBN-13:	9780521169813
Publisher:	Cambridge University Press
Publication date:	11/25/2010
Edition description:	New Edition
Pages:	452
Product dimensions:	7.44(w) x 9.69(h) x 0.91(d)

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.

Table of Contents

1. Introduction; 2. Review of mathematical principles; 3. Writing programs to process images; 4. Images: description and characterization; 5. Linear operators and kernels; 6. Image relaxation: restoration and feature extraction; 7. Mathematical morphology; 8. Segmentation; 9. Shape; 10. Consistent labeling; 11. Parametric transform; 12. Graphs and graph-theoretic concepts; 13. Image matching; 14. Statistical pattern recognition; 15. Clustering; 16. Syntactic pattern recognition; 17. Applications; 18. Automatic target recognition.