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Optical Engineering

Author(s): Jianping Yao; Soon-Meng Tan; Yuan-Ban Liew
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Paper Abstract

A novel approach is proposed to improve the discrimination of the radial-harmonic filter for shift- and scale-invariant pattern recognition. The approach combines the morphological correlation and the radialharmonic expansion, in which the reference gray-level image is first decomposed into a series of binary images, and then the radial-harmonic expansion is applied to those binary images. The morphological radialharmonic correlation is achieved by correlating the single-order radialharmonic components with the corresponding sliced binary images obtained from the input scene and summing the correlations. The algorithm is tested via computer simulations. The results show that the algorithm is shift- and scale-invariant and provides better discrimination ability than the conventional radial-harmonic filter.

Paper Details

Date Published: 1 January 2002
PDF: 6 pages
Opt. Eng. 41(1) doi: 10.1117/1.1425786
Published in: Optical Engineering Volume 41, Issue 1
Show Author Affiliations
Jianping Yao, Nanyang Technological Univ. (Canada)
Univ. of Ottawa (Canada)
Soon-Meng Tan, Nanyang Technological Univ. (Singapore)
Yuan-Ban Liew, Nanyang Technological Univ. (Singapore)


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