Machine Vision

  • 8h 8m
  • Hairong Qi, Wesley E. Snyder
  • Cambridge University Press
  • 2004

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.

About the Authors

WESLEYE. SNYDER received his Ph.D. 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 US Army Research Office.

HAIRONG QI received her Ph.D. from North Carolina State University and is currently an Assistant Professor of Electrical and Computer Engineering at the University of Tennessee,Knoxville.

In this Book

  • Introduction
  • Review of Mathematical Principles
  • Writing Programs to Process Images
  • Images: Formation and Representation
  • Linear Operators and Kernels
  • Image Relaxation: Restoration and Feature Extraction
  • Mathematical Morphology
  • Segmentation
  • Shape
  • Consistent Labeling
  • Parametric Transforms
  • Graphs and Graph-Theoretic Concepts
  • Image Matching
  • Statistical Pattern Recognition
  • Clustering
  • Syntactic Pattern Recognition
  • Applications
  • Automatic Target Recognition