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Proceedings Paper

Recognition study for gray image based on optoelectronic hybrid joint transform correlator
Author(s): Hongxia Wang; Junhong Zhao; Zhaoxuan Sheng
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Paper Abstract

In this paper a kind of optoelectronic hybrid joint transform correlator for recognition of gray images has been proposed. In order to remove low frequency components, the input gray image is preprocessed by edge enhancement using the Gauss-Laplace algorithm. The joint transform power spectrum of object and referenced image is obtained by Fourier transform with optical apparatus. The power spectrum is captured by CCD and input into computer for process. First, the joint power spectrum is modified by subtracted the power spectrum of the object image and of the reference image being only respectively. The subtracted power spectrum is filtered by Butterworth high-pass filter to further intensify high frequency components and restrain low frequency components. Then the filtered power spectrum is replicated into N copies to form a power spectrum array displayed on the Electronic-Addressing Spatial Light Modulator (EA-SLM). The N output correlation signal addition is obtained by inverse Fourier transform of the power spectrum array with optical lens. The theoretical analysis and computer simulation indicate that the correlator can make full use of the areas of the SLM, improve the light efficiency, sharpen the correlation peak effectively and eliminate the central zero-order component in correlation place.

Paper Details

Date Published: 20 January 2006
PDF: 6 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 60272X (20 January 2006); doi: 10.1117/12.668307
Show Author Affiliations
Hongxia Wang, Xi’an Research Institute of Hi-Tech Honqing Town (China)
Junhong Zhao, Xi’an Research Institute of Hi-Tech Honqing Town (China)
Zhaoxuan Sheng, Xi’an Research Institute of Hi-Tech Honqing Town (China)

Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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