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Proceedings Paper

Optical Harr wavelet transform for image feature extraction
Author(s): Guofan Jin; Yingbai Yan; Wenlu Wang; James Zhiqing Wen; Minxian Wu
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Paper Abstract

The wavelet transform is implemented by volume hologram in the frequency domain. 2D Harr's wavelet was encoded with polarizer. Different types and different dilation factors of the 2D Harr's wavelets are recorded in the volume holograms via an angular multiplexing technique. The corner and edge Harr wavelets are used together to extract different features of an input image. Experimental results and computer simulation are compared and presented in this paper. The results show that we can use the proposed optical system to realize wavelet transforming, and then to extract different local features (such as edge, corner) of the image with multiresolution and realize the task of pattern recognition. The limit and the feasibilities of the system are discussed.

Paper Details

Date Published: 1 November 1993
PDF: 10 pages
Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); doi: 10.1117/12.162077
Show Author Affiliations
Guofan Jin, Tsinghua Univ. (China)
Yingbai Yan, Tsinghua Univ. (China)
Wenlu Wang, Tsinghua Univ. (China)
James Zhiqing Wen, Tsinghua Univ. (China)
Minxian Wu, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 2034:
Mathematical Imaging: Wavelet Applications in Signal and Image Processing
Andrew F. Laine, Editor(s)

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