A classification method of pearl shape based on Zernike moment

Author

Li, Bin ; Li, Ge ; Wang, Ying ; Wang, Xin ; Wang, Wei

Author_Institution

Zhejiang Sci-Tech Univ., Hangzhou

Volume

3

fYear

2007

fDate

2-4 Nov. 2007

Firstpage

1076

Lastpage

1079

Abstract

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.

Keywords

fuzzy set theory; image classification; classification method; eighth-derivative Zernike moments; fuzzy pattern recognition; pearl image; pearl shape classification; Artificial neural networks; Computer vision; Data mining; Image recognition; Notice of Violation; Pattern analysis; Pattern recognition; Shape; Vehicle detection; Wavelet analysis; Computer vision; Fuzzy pattern; Pearl shape; Zernike moment; recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-1065-1

Electronic_ISBN

978-1-4244-1066-8

Type

conf

DOI

10.1109/ICWAPR.2007.4421592

Filename

4421592