JOURNAL OF TEXTILE RESEARCH ›› 2012, Vol. 33 ›› Issue (8): 55-58.

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Fuzzy recognition of fabric texture with double conditions

 WANG  Xiu-Chen1,2, LI  Xiao-Jiu1   

    1. Tianjin Polytechnic University
    2. Zhongyuan University of Technology
  • Received:2011-08-10 Revised:2012-05-11 Online:2012-08-15 Published:2012-08-08
  • Contact: Xiu-chen Wang E-mail:nbwangxiuchen@163.com

Abstract: In order to extract the texture of fabric image, a new fuzzy recognition method on double condition is proposed in this paper. With this algorithm, the gray level of image is analyzed to determine the standard fuzzy set of gray wave in any row and column. And then, the membership function considering different gray values and pixel positions on double condition is given to classify the gray wave in any row and column, and the gray wave of texture only with two gray values is transformed. At last, all gray wave combinations of texture are reduced into binary texture image of fabric. All this can provide the basis of image analysis for density, texture evenness and defects recognition. Experiments and analysis show that this algorithm in this paper can establish gray wave with pulse characteristic according to the fuzzy partition of gray wave and binary texture image extraction of fabric with two gray values. This algorithm can provide simple and useful data models of fabric texture for further parameters analysis of fabric images.

Key words: double condition , fabric texture , fuzzy , recognition , texture gray wave

CLC Number: 

  • TS 103.7
[1] . Design of automatic fundamental flat knit knitting control system of flat knitting machine [J]. JOURNAL OF TEXTILE RESEARCH, 2013, 34(3): 127-131.
[2] LIU Zhe. Comprehensive evaluation of appearance quality of fabric based on image analysis [J]. JOURNAL OF TEXTILE RESEARCH, 2012, 33(11): 61-65.
[3] . Establishment of Enhanced Matrix Feature Model for Fabric Image [J]. JOURNAL OF TEXTILE RESEARCH, 2011, 32(8): 142-146.
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