DocumentCode :
2108650
Title :
Input Plane Preprocessing of Joint Transform Correlator Based on Swarm Intelligence
Author :
Wang, Yong ; Zhu, Ming
Author_Institution :
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun, China
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
6
Abstract :
Input plane image preprocessing can improve the performance of Joint Transform Correlator(JTC). Swarm Intelligence based image processing method is consistent with the parallel characteristic of optical signal processing method. In this paper,A Swarm Intelligence based input plane preprocessing method is proposed. Some other methods are also used to perform the task, such as grayscale transform, Sobel operator and mathematical morphology. The experimental results show that the performance of the proposed Swarm Intelligence preprocessing based JTC is better than that of the JTC based on other preprocessing methods.
Keywords :
Fourier transforms; artificial intelligence; image processing; mathematical morphology; Fourier transforms; Sobel operator; grayscale transform; input plane preprocessing; joint transform correlator; mathematical morphology; optical signal processing; swarm intelligence; Correlators; Data preprocessing; Fourier transforms; Intelligent agent; Lenses; Mirrors; Optical modulation; Optical signal processing; Particle swarm optimization; Physics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5302365
Filename :
5302365
Link To Document :
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