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Proceedings Paper

Wavelet GRI-MINACE filter for rotation-invariant pattern recognition
Author(s): Ha-Woon Lee; Soo-Joong Kim; Jeong-Woo Kim; Yang-Hoi Doh
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Paper Abstract

A rotation-invariant optical correlation filter using wavelet transform to produce easily detectable correlation peaks in the presence of noise and to provide better intraclass recognition is proposed. The proposed filter is designed by using the energy spectra of the wavelet transformed reference image and random noise. Because the energy spectrum of the wavelet transformed reference image is higher than that of the random noise in the specified band, the proposed filter has good discrimination ratio (DR), high signal to noise ratio (SNR), and low distortion sensitivity (DS). The wavelet function used in this paper is the Mexican-hat function, and it is chosen by investigating the relation between the energy spectra of the reference image and the various wavelet functions. The optimal dilation parameters of the wavelet function are also achieved with varying the dilation parameters of the wavelet function.

Paper Details

Date Published: 22 March 1996
PDF: 10 pages
Proc. SPIE 2762, Wavelet Applications III, (22 March 1996); doi: 10.1117/12.236009
Show Author Affiliations
Ha-Woon Lee, Dongyang Univ. of Technology (South Korea)
Soo-Joong Kim, Kyungpook National Univ. (South Korea)
Jeong-Woo Kim, Kyungpook National Univ. (South Korea)
Yang-Hoi Doh, Cheju National Univ. (South Korea)


Published in SPIE Proceedings Vol. 2762:
Wavelet Applications III
Harold H. Szu, Editor(s)

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