Frequency domain filtering strategies for hybrid optical information processing

The book focuses attention on the development of optically implementable frequency domain algorithms that may be exploited to enhance the performance of optical information processing systems. The objective of filtering is to overcome limitations in performance that are generated by problems relatin...

Full description

Saved in:
Bibliographic Details
Main Author: Chatwin, C. R.
Other Authors: Wang, R.K
Format: Book
Language:English
Published: London, UK Research studies Press 1996
Series:Electronic & electrical engineering research studies. Pattern recognition & image processing series 10
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
Call Number :TA 1650 .C531 1996

MARC

LEADER 00000pam a2200000 4500
001 3016
003 MY-KLNDU
005 20241218051318.0
008 140609 1996 xxka bi 000 0 eng d
020 |a 0863801773 
039 9 |a 201409221237  |b zul  |c 201406091305  |d azraai  |c 200910081321  |d VLOAD  |y 200910081203  |z VLOAD 
040 |a UPNM 
090 |a TA 1650  |b .C531 1996 
100 1 |a Chatwin, C. R. 
245 1 0 |a Frequency domain filtering strategies for hybrid optical information processing  |c C.R. Chatwin and R.K. Wang 
260 |a London, UK  |b Research studies Press  |c 1996 
300 |a xi, 268 p.  |b ill.  |c 24 cm. 
490 1 |a Electronic & electrical engineering research studies.  |p Pattern recognition & image processing series  |v 10 
504 |a Includes bibliographical references and index 
505 |a Introduction -- Optical pattern recognition: fundamentals -- Spatial frequency tuning for pattern recognition by correlation -- Adaptive filtering technique -- Synthetic discriminant functions (SDFs) -- Modified filter-SDF filter and its real time implementation -- The Wiener filter and its application to optical correlation -- Joint transform correlation 
520 |a The book focuses attention on the development of optically implementable frequency domain algorithms that may be exploited to enhance the performance of optical information processing systems. The objective of filtering is to overcome limitations in performance that are generated by problems relating to input image distortion, noise, clutter, discrimination, object localisation, accuracy, multi-class recognition and optical efficiency. The methods and architectures reported will be of great interest to researchers and industrial companies building systems for industrial inspection, security and surveillance, military acquisition and tracking. 
650 0 |a Optical pattern recognition 
650 0 |a Optical data processing  |x Mathematics 
650 0 |a Computer algorithms 
650 0 |a Digital filters (Mathematics) 
700 1 |a Wang, R.K. 
830 0 |a Electronic & electrical engineering research studies.  |p Pattern recognition & image processing series  |v 10 
999 |a vtls000003048  |c 3016  |d 3016