Title :
Joint transform correlator based on joint image feature extraction using swarm intelligence method
Author :
Wang, Yang ; Zhu, Ming
Author_Institution :
Changchun Inst. of Opt., Fine Mech. & Phys., Chinese Acad. of Sci., Changchun, China
Abstract :
An image feature extraction method based on Swarm Intelligence is used in the preprocessing of joint image in joint transform correlator. The Swarm Intelligence based image processing method is superior to the conventional image processing method in its robust, flexible, fault tolerant, scalable, and highly parallelizable characteristic. The output results from the classical JTC without image preprocessing and the JTC with Sobel operator based joint image feature extraction are compared with that of the JTC when using the Swarm Intelligence to extract the feature of joint image. Experiment results show the performance improvement of JTC using the feature extraction method based on Swarm Intelligence.
Keywords :
artificial intelligence; feature extraction; transforms; Sobel operator; joint image feature extraction; joint transform correlator; swarm intelligence method; Correlators; Feature extraction; Image processing; Intelligent agent; Optical filters; Optical signal processing; Particle swarm optimization; Pattern recognition; Physics; Robustness; Swarm Intelligence; agent; joint transform correlator (JTC); pattern recognition;
Conference_Titel :
Mechatronics and Automation, 2009. ICMA 2009. International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-2692-8
Electronic_ISBN :
978-1-4244-2693-5
DOI :
10.1109/ICMA.2009.5246003
