纺织学报 ›› 2012, Vol. 33 ›› Issue (8): 55-58.

• 纺织工程 • 上一篇    下一篇

基于复合条件的织物纹理模糊识别

汪秀琛1,2,李晓久1   

    1. 天津工业大学
    2. 中原工学院
  • 收稿日期:2011-08-10 修回日期:2012-05-11 出版日期:2012-08-15 发布日期:2012-08-08
  • 通讯作者: 汪秀琛 E-mail:nbwangxiuchen@163.com
  • 基金资助:

    河南省科技攻关项目

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

摘要: 本文提出一种新的基于复合条件的模糊识别方法完成对织物图像的纹理提取。首先通过对整个图像灰度级的分析确定行与列灰度波的标准模糊集,然后给出考虑灰度大小及像素位置的基于复合条件的隶属度计算公式,以对行与列的灰度波进行模糊分类,使其转换为仅有二个灰度极值的纹理灰度波。最后将所有纹理灰度波组合还原成二值纹理织物图像,为后续密度识别、纹理均匀度识别及疵点识别等图像分析提供基础。实验与分析显示,本文算法通过对灰度波的模糊划分,提取仅用两个灰度值表示的织物二值纹理图像,形成具有脉冲特征的纹理灰度波,可为后续的织物图像各参数分析提供简单有用的织物纹理数据模型。

关键词: 复合条件 , 织物纹理 , 模糊 , 识别 , 纹理灰度波

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

中图分类号: 

  • TS 103.7
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