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Proceedings Paper

Color difference classification of fabric based on flexible neural network
Author(s): Qian Wan; Suyi Liu; Zhenghui Zhao
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Paper Abstract

The article researches the color difference classification of the fabric. At first, we detect the color difference of fabric, and select the L*a*b* color space by analyzing the character of different color space. In L*a*b* color space, the color difference are convert into geometric distance, with which we can calculate the value of color difference by CIEDE2000 color difference formula. the color difference classification is more complex, for neural network has the feature of adaptive learning and approaching arbitrary nonlinear function, we propose that neural network can be used on color difference classification, however, according to the disadvantages of tradition neural network which are slowly training and apt to trap into local minimum, highly flexible neural network was adopted. At last, we detect and classify the color difference of fabric samples and analyze the results of the detection and classification.

Paper Details

Date Published: 10 July 2009
PDF: 4 pages
Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748911 (10 July 2009); doi: 10.1117/12.836665
Show Author Affiliations
Qian Wan, Wuhan Univ. of Science and Engineering (China)
Suyi Liu, Wuhan Univ. of Science and Engineering (China)
Zhenghui Zhao, Wuhan Univ. of Science and Engineering (China)


Published in SPIE Proceedings Vol. 7489:
PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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