纺织学报 ›› 2007, Vol. 28 ›› Issue (2): 32-35.

• 纺织工程 • 上一篇    下一篇

基于自适应小波变换的织物密度测量

何峰;李立轻;徐建明   

  1. 东华大学纺织学院 上海201620
  • 收稿日期:2005-09-23 修回日期:2005-12-13 出版日期:2007-02-15 发布日期:2007-02-15

Woven fabric density measure based on adaptive wavelets transform

HE Feng;LI Liqing;XU Jianming   

  1. College of Textile;Donghua University;Shanghai 201620;China
  • Received:2005-09-23 Revised:2005-12-13 Online:2007-02-15 Published:2007-02-15

摘要: 应用自适应小波变换技术以实现机织物密度的自动测量。先运用Wiener2和直方图均衡技术对织物图像进行预处理,增强图像的纹理特征;接着选取自适应小波技术对织物图像进行分解;再对分解得到的子图像进行二值、平滑等后处理;最后通过分析后处理图像的经纬纱线信息得到织物密度。试验结果证明,运用该方法能够准确测量3种基本组织的织物密度,是一种行之有效的方法。另外,还简要介绍了自适应小波的构造技术。

Abstract: By using computer image processing and analysis,a method to measure woven fabric density is developed in this study.Firstly,the fabric image is pre-processed by Wiener2 and histogram equalization to make more clear the fabric texture features;Secondly,the pre-processed woven image is decomposed into horizontal and vertical sub-image based on adaptive wavelet;Thirdly,the features are extracted from the sub-images through some treatments like smoothing;Finally,the fabric density can be obtained by analyzing these features of warps and wefts of the fabric.The experiments have proved that this method can exactly measure the density of three kinds of woven fabric with basic structure.In addition,this paper also presents how to construct the adaptive wavelets.

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