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Proceedings Paper

Morphological radial harmonic correlation for shift- and scale-invariant pattern recognition
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 ability of the radial harmonic filter for shift- and scale- invariant pattern recognition. The approach combines the morphological correlation and the radial harmonic expansion for shift- and scale-invariant pattern recognition with improved discrimination. In the approach, the reference gray-level image is first decomposed into a series of binary images, and then the radial harmonic expansion is applied to these binary images. The morphological radial harmonic correlation is achieved by correlating the single-order radial harmonic components with the corresponding sliced binary images obtained from the input scene and summing the correlations. Simulation results show that the MRHC is shift and scale invariant and the discrimination capability is improved compared to the normal radial harmonic correlation.

Paper Details

Date Published: 20 March 2001
PDF: 11 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421143
Show Author Affiliations
Jianping Yao, Nanyang Technological Univ. (Canada)
Soon-Meng Tan, Nanyang Technological Univ. (Singapore)
Yuan-Ban Liew, Nanyang Technological Univ. (Singapore)


Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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