ADVANCED OPTICAL PROCESSORS FOR MULTIPLE DEGREE-OF-FREEDOM OBJECT RECOGNITION

作     者：CASASENT, D 

作者机构：Center for Excellence in Optical Data Processing Department of Electrical and Computer Engineering Carnegie Mellon University Pittsburgh PA USA 

出 版 物：《IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS》 (IEEE Trans Aerosp Electron Syst)

年 卷 期：1988年第24卷第5期

页      面：608-618页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：This work was supported by the United States Air Force Office of Scientific Research  Washington  DC  General Dynamics/Valley Systems Division  Pomona  CA  and Jet Propulsion Laboratory  Pasadena  CA 

主　　题：Object recognition Optical distortion Optical filters Pattern recognition Optical computing Correlators Feature extraction Propulsion Satellites Signal to noise ratio 

摘      要：Several optical pattern recognition techniques suitable for multiple-degree-of-freedom object recognition are described. These include a correlator, an associate processor, and three feature extractors using moments, chord distributions, and a space-variant feature space. The processing architectures, the algorithm details, and initial results obtained for each approach are presented.