Optical Pattern Recognition (Paperback)

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 new 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 deals with the devices and materials employed in modern systems, such as photorefractive crystals, microlasers, and liquid crystal spatial light modulators. The volume gives many examples of working systems that integrate optics, electronics, and computers, and it covers a range of new 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.

本書全面回顧了光學模式識別的理論和實際實現以及信號處理技術。第一章專門介紹了使用光學相關器進行模式識別的方法。後續章節討論了基於神經網絡、小波變換和分數傅立葉變換的新方法。本書還介紹了非線性濾波方法和光電混合系統。最後一部分介紹了現代系統中使用的設備和材料，如光折變晶體、微型激光器和液晶空間光調制器。本書提供了許多集成光學、電子和計算機的工作系統示例，涵蓋了從數學理論到新型光學材料的一系列新發展。這對光學工程和機器視覺的研究生和研究人員非常有興趣。