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Proceedings Paper

Vision system based on optical wavelet transform
Author(s): Jianru Shi; Xinhua Wang; Hong Yue; Shijie Dai; Qinghua Cui
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Paper Abstract

In order to enhance the speed of image processing we apply the optical wavelet transform to vision system by the method of photoelectric hybrid implementation. The state-of-the-art liquid crystal on silicon (LCoS) technology is applied to improve the signal-to-noise ratio of the wavelet transform. A fan out grating implemented by a phase-only LCoS is used to implement multiple channel optical processing. Therefore the parallelism of the vision system is improved further. The research results shows that the optical wavelet transform based vision system is reasonable and feasible. The image feature extraction by optical information processing can enhance the speed of vision processing.

Paper Details

Date Published: 27 February 2004
PDF: 10 pages
Proc. SPIE 5266, Wavelet Applications in Industrial Processing, (27 February 2004); doi: 10.1117/12.515034
Show Author Affiliations
Jianru Shi, Kent State Univ. (United States)
Xinhua Wang, Kent State Univ. (United States)
Hong Yue, Hebei Univ. of Technology (China)
Shijie Dai, Hebei Univ. of Technology (China)
Qinghua Cui, Hebei Univ. of Technology (China)

Published in SPIE Proceedings Vol. 5266:
Wavelet Applications in Industrial Processing
Frederic Truchetet, Editor(s)

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