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Machine Vision, Pattern Recognition

Improved performance of scale-invariant pattern recognition using a combined Mellin radial harmonic function and wavelet transform

[+] Author Affiliations
Yih-Shyang Cheng

National Central University, Institute of Optical Sciences, Jhongli, Taiwan 32054, R.O.C.

Hui-Chi Chen

Fu Jen Catholic University, Institute and Department of Physics, Hsinchuang, Taipei Hsien, Taiwan 24205, R.O.C.

Opt. Eng. 46(10), 107204 (October 29, 2007). doi:10.1117/1.2799534
History: Received September 27, 2006; Revised April 02, 2007; Accepted April 28, 2007; Published October 29, 2007
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By using a combination of the Mellin radial harmonic function and the Mexican-hat wavelet transform, scale- and shift-invariant pattern recognition is reported. Without preprocessing of the input object, this filter is capable of identifying over a wide allowable scale range of 0.25 to 1. The correlation peaks are sharp, and the peak intensity is fairly uniform, with a variance below 30%. Computer simulation is adopted to investigate the performance of the filter. Experimental results implemented using a photorefractive joint-transform correlator, including those obtained under white noise, are also presented.

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© 2007 Society of Photo-Optical Instrumentation Engineers

Citation

Yih-Shyang Cheng and Hui-Chi Chen
"Improved performance of scale-invariant pattern recognition using a combined Mellin radial harmonic function and wavelet transform", Opt. Eng. 46(10), 107204 (October 29, 2007). ; http://dx.doi.org/10.1117/1.2799534


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