Издательство Springer, 2001, -437 pp.A number of important aspects of intelligent machine vision in one volume, describing the state of the art and current developments in the field, including: fundamentals of 'intelligent'image processing for machine vision systems; algorithm optimisation; implementation in high-speed electronic digital hardware; implementation in an integrated high-level software environment and applications for industrial product quality and process control. Backed by numerous illustrations, created using the authors IP software, this book will be of interest to researchers in the field of machine vision wishing to understand the discipline and develop new techniques. Also useful for under- and postgraduates.Machine Vision for Industrial Applications
Basic Machine Vision Techniques
Algorithms, Approximations, and Heuristics
Systems Engineering
Algorithms and Architectures for Fast Execution
Adding Intelligence
Vision Systems on the Internet
Visual Programming for Machine Vision
Application Case Studies
Final Remarks
A: Programmable Color Filter
B: A Brief Introduction to Prolog
C: PIP Commands and Their Implementation
