Machine Vision Tutorial

Author: (USA) Snyder W.E. Lin Xueyin Hairong Qi
Publisher:
Publish Date: 2005-09-01
Features: This book provides a comprehensive and easy-to-understand explanation of machine vision, serving as a practical textbook introducing the theory and applications of machine vision. It begins with an introduction to teaching principles, then discusses key issues in image processing, such as image description and quality, edge detection, feature extraction, segmentation, texture and shape, etc. The content also covers image matching, statistical pattern recognition, syntactic pattern recognition, clustering, propagation, adaptive contouring, parametric transformation, and uniqueness labeling. The book also introduces some important applications of machine vision, including automatic target detection. The accompanying CD-ROM includes the software and data used in the book. This book can be used as a textbook for graduate students in electrical engineering, computer science, and mathematics, as well as a reference for technicians.