Image feature extraction with the optical Haar wavelet transform

Optical wavelet transformation is implemented with a volume hologram in the frequency domain. The 2D Haar wavelets of different types and with different dilation factors are encoded with a polarizer, and their Fourier spectra are recorded in a volume hologram with an angular multiplexing technique....

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Bibliographic Details
Published in:Optical Engineering 1995-04, Vol.34 (4), p.1238-1242
Main Authors: Wang, Wenlu, Jin, Guofan, Yan, Yingbai, Wu, Minxian
Format: Article
Language:English
Subjects:
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Image forming and processing
Imaging and optical processing
Optical elements, devices, and systems
Optical processors, correlators, and modulators
Optics
Physics
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Summary:Optical wavelet transformation is implemented with a volume hologram in the frequency domain. The 2D Haar wavelets of different types and with different dilation factors are encoded with a polarizer, and their Fourier spectra are recorded in a volume hologram with an angular multiplexing technique. Different local features (such as corners and edges) of an input image are extracted simultaneously by the corner and edge Haar wavelets. Experimental results and computer simulation are compared and presented. The limitations and the feasibility of the system are discussed. (Author)
ISSN:0091-3286
1560-2303
DOI:10.1117/12.197068