Research on the Clustering Color Separation of Fabric Based on Genetic-Fuzzy Algorithm

Abstract:

An improved fabric color separation method is put forward based on genetic fuzzy clustering algorithm.At first, adopt six basic primary colors are used to carry on color separation to images of fabric including C(blue), M(magenta), Y(yellow), G(green), K(black) and W(white),and the data set of fuzzy cluster is formed , consequently, the division of fuzzy cluster can be completed, at last Genetic-fuzzy cluster algorithm is applied to color separation of decorated Jacquard fabric. The experimental results show that the fidelity of fabric patterns after color separation using this improved method is superior to that after color separation using traditional color separation method

• Periodical: Advanced Materials Research (Volume 331)
• Pages: 77-82
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.331.77
• Online since: September 2011
• Authors: Bing Jin Luo
• Keywords: Clustering Analysis (CA), Color Separation, Fabric, Genetic-Fuzzy Algorithm

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