Research on the Scale Density Extraction Technology of Cashmere and Wool

Article Preview

Abstract:

This paper studied how to identify the cashmere and wool fibers by scale density. The scale density is extracted in frequency domain. The theory of extracting scale density and image preprocessing are given in this paper. The samples are 100 cashmere images and 100 wool images. The recognition rate is above 83% by SVM cross validation. The result reveals that scale density is a valid feature in identifying the cashmere and wool fiber.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

947-950

Citation:

Online since:

November 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Yi Haiyan, Research of cashmere feature parameter extraction techniques based on image analysis[D].Beijing institute of fashion technology,2009.

Google Scholar

[2] Jang Gao-ping, Zhong Yue-qi : A recognition method for wool and cashmere fiber based on the character of the spectral line[D]. Dong hua university,2010.

Google Scholar

[3] Chih-Chung Chang and Chih-Jen Lin, LIBSVM : A library forsupport vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm

Google Scholar

[4] Rafael C. Gonzalez, Richard E .Wood, Steven L. Eddins. Digital Image Processing Second Edition

Google Scholar

[5] Peng Wei-Liang, Jiang Yao-xing, Yuan Chang –tai. The analysis of shape feature of cashmere and fine wool[J].shanghai textle science and technology,2005,pp.33-11.

Google Scholar