Identification of Wool and Cashmere Based on Texture Analysis
2015 ◽
Vol 671
◽
pp. 385-390
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Keyword(s):
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.
2019 ◽
Vol 55
(9)
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pp. 1012-1021
Keyword(s):
2012 ◽
Vol 16
(1)
◽
pp. 19-28
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Keyword(s):
2021 ◽
Vol 1
(1)
◽
pp. 1
2012 ◽
pp. 80-85
2019 ◽
Vol 14
(3)
◽
pp. 1433
◽
1984 ◽
Vol 123
(2)
◽
pp. 425-434
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