Optical Pattern Recognition

Description

This book provides a comprehensive review of optical pattern recognition, covering theoretical aspects as well as details of practical implementations and signal processing techniques. The first chapter is devoted to pattern recognition performed with optical correlators. Later chapters discuss approaches based on neural networks, wavelet transforms and the fractional Fourier transform. The book also covers nonlinear filter methods and optical-electronic hybrid systems. The final part of the book deals with the devices and materials employed in modern systems, such as photorefractive crystals, microlasers, and liquid crystal spatial light modulators. The book gives many examples of working systems that integrate optics, electronics and computers, and it covers a range of developments from mathematical theories to novel optical materials. It will be of great interest to graduate students and researchers in optical engineering and machine vision.

"Graduate students, beginning researchers, opitical engineers, and machine vision specialists can use each chpater as an introduction to the particular subject covered...Thanks to the book's interdisciplinary character, seasoned researchers and practitioners will also find new insights and new ideas, as well as a global overview of this interesting and dynamic optics subfield...I highly recommend this book to anyone interested in optical pattern recognition." Optics & Photonics Sept 2001