Paper Title:
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

  Info
Periodical
Chapter
Chapter 1: Textile Science and Technology
Edited by
Rui Wang and Huawu Liu
Pages
77-82
DOI
10.4028/www.scientific.net/AMR.331.77
Citation
B. J. Luo, "Research on the Clustering Color Separation of Fabric Based on Genetic-Fuzzy Algorithm", Advanced Materials Research, Vol. 331, pp. 77-82, 2011
Online since
September 2011
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$32.00
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