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Proceedings Paper

Texture information processing system with binary optical wavelet element
Author(s): Wenyi Feng; Yingbai Yan; Guofan Jin; Wenlu Wang; Minxian Wu
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Paper Abstract

The implementation strategy of optical wavelet transform for texture information processing is discussed in this paper. An opto-electronic hybrid system is constructed for texture segmentation, which is based on the multi-channel filtering framework in the early stages of human visual theory. First, a traditional optical system with a Damman grating as the beam splitter and a bank of Gabor wavelets as the channel filters is set up for feature extraction, and several clustering algorithms are then used for feature integration. Furthermore, a novel binary optical element with the functions of splitting, filtering and imaging is designed and fabricated to simplify the traditional system. The experimental results and the primary applications are also provided.

Paper Details

Date Published: 31 December 1996
PDF: 6 pages
Proc. SPIE 2866, International Conference on Holography and Optical Information Processing (ICHOIP '96), (31 December 1996); doi: 10.1117/12.263048
Show Author Affiliations
Wenyi Feng, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)
Guofan Jin, Tsinghua Univ. (China)
Wenlu Wang, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 2866:
International Conference on Holography and Optical Information Processing (ICHOIP '96)
Guoguang Mu; Guofan Jin; Glenn T. Sincerbox, Editor(s)

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