Optical Harr wavelet transform for image feature extraction

Guofan Jin; Yingbai Yan; Wenlu Wang; James Zhiqing Wen; Minxian Wu

doi:10.1117/12.162077

1 November 1993 Optical Harr wavelet transform for image feature extraction

Guofan Jin, Yingbai Yan, Wenlu Wang, James Zhiqing Wen, Minxian Wu

Proceedings Volume 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing; (1993) https://doi.org/10.1117/12.162077
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Guofan Jin, Yingbai Yan, Wenlu Wang, James Zhiqing Wen, and Minxian Wu "Optical Harr wavelet transform for image feature extraction", Proc. SPIE 2034, Mathematical Imaging: Wavelet Applications in Signal and Image Processing, (1 November 1993); https://doi.org/10.1117/12.162077

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