A classification method of pearl shape based on Zernike moment

被引：0

作者：

Li, Bin ^{[1
]}

Li, Ge ^{[1
]}

Wang, Ying ^{[2
]}

Wang, Xin

Wang, Wei ^{[3
]}

机构：

[1] Zhejiang Sci Tech Univ, Comp Vis & Agr Mechanism Design Ctr, Hangzhou 310018, Peoples R China

[2] Zhejiang Sci Tech Univ, Dept Ind Engn, Hangzhou 310018, Peoples R China

[3] City Cent Vehicle Detect Stn, Detect Ctr, Zaozhuang 277100, Peoples R China

来源：

2007 INTERNATIONAL CONFERENCE ON WAVELET ANALYSIS AND PATTERN RECOGNITION, VOLS 1-4, PROCEEDINGS | 2007年

关键词：

pearl shape; zernike moment; fuzzy pattern recognition; computer vision;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

An approach for pearl shape classification using fuzzy; pattern recognition based on Zernike moments was proposed After a series of preprocessing on the pearl image obtained, transformed it to the polar coordinates, then calculated eighth-derivative Zernike moments means as each type of typical shape's characteristic parameter. The utilization of fuzzy pattern recognition achieved the shape effective distinction of pearl single image, finally, by seeking and comparison of characteristics image through multi-angles of view, realized the pearl shape classification. Experiment results indicated that, the method is of good distinction ability.

引用

页码：1076 / +

页数：2

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