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Identification of Wool and Cashmere Based on Texture Analysis

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Abstract:

In order to separate wool from cashmere efficiently, an identification method based on texture analysis was proposed in this paper. The microscopic images captured by CCD digital camera were preprocessed as the texture image. Improved Tamura texture feature were employed to analyzing the final texture images and to attaining the texture parameters. Through a large number of samples, the mathematical modeling was completed by using neural network. Experiment results indicate that texture analysis can be a feasible method to identify cashmere and wool.

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Periodical:

Key Engineering Materials (Volume 671)

Pages:

385-390

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.671.385

Citation:

Cite this paper

Online since:

November 2015

Authors:

Sen Lin Yuan, Kai Lu, Yue Qi Zhong*

Keywords:

BP Neural Network, Cashmere, Image Analysis, Improved Tamura Texture Feature, Wool

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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