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10 July 2009 Color difference classification of fabric based on flexible neural network
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Proceedings Volume 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering; 748911 (2009) https://doi.org/10.1117/12.836665
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China
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.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Qian Wan, Suyi Liu, and Zhenghui Zhao "Color difference classification of fabric based on flexible neural network", Proc. SPIE 7489, PIAGENG 2009: Image Processing and Photonics for Agricultural Engineering, 748911 (10 July 2009); https://doi.org/10.1117/12.836665
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