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20 March 2001 Morphological radial harmonic correlation for shift- and scale-invariant pattern recognition
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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.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jianping Yao, Soon-Meng Tan, and Yuan-Ban Liew "Morphological radial harmonic correlation for shift- and scale-invariant pattern recognition", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421143
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