NDLI: The research on identification of wool or cashmere fibre based on the digital image

Content Provider	IEEE Xplore Digital Library
Author	Shu-Yuan Shang Ya-Xia Liu Hai-Yan Yi Yao-Wen Zhang
Copyright Year	2010
Description	Author affiliation: School of Information Engineering, Beijing Institute of Fashion Technology, Beijing, 100029 (Shu-Yuan Shang; Ya-Xia Liu; Hai-Yan Yi; Yao-Wen Zhang)
Abstract	This paper mainly studies computer automatic measurement of cashmere diameter, and the method of cashmere fiber. Simulation experiment is carried out under the simulation environment of Matlab7.0 and the processing scheme which is suitable for the fiber images is confirmed, and finally, on the basis of the images after pre-processed, automatic measurement of cashmere diameter is achieved by the arithmetic of subsection measurement. Experimental results show that measurement methods used in this paper improves the accuracy of measurement of cashmere diameter to some extent. The model features of fiber scale is the based primarily of identification of animal fiber, this paper studies the four kinds of cashmere and wool, six characteristics of fiber diameter, the diameter of high ratio, scale height, scale projection width, scale thickness at right angles and scales diameter difference, and then get the distribution of these six characteristics, identify it by using Bayesian model finally. The results show that the method is very effective to identifying between common wool and cashmere and between wool with stretch wool general.
Starting Page	833
Ending Page	838
File Size	103669
Page Count	6
File Format	PDF
ISBN	9781424465262
e-ISBN	9781424465279
DOI	10.1109/ICMLC.2010.5580587
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-11
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wool Gaussian distribution Measurement uncertainty Error analysis Machine learning Cybernetics Accuracy Bayesian Fiber Identification Image processing Automatic measurement
Content Type	Text
Resource Type	Article

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