棉纺织技术2012，Vol.40Issue(10)：20-23,4.
基于加权局部熵的织物疵点检测
Detection of Fabric Defect Based on Weighted Local Entropy
摘要
Abstract
Effect of fabric defect detection method based on weighted local entropy was discussed. According to defect of image local entropy in fabric defect detection,detection method of weighted local entropy was put forwards. Fabric missing picks,broken ends and hole defects were detected. The result shows that the fabric defects recognition rate based on weighted local entropy can be reached above 90%. It is pointed out that compared to single local entropy method,the new method is more convenient and accurate in detecting four kinds defects i. e. missing pick,broken ends,oil and hole defects.关键词
疵点检测/加权局部熵/MATLAB/图像处理/缺纬/断经Key words
Defect Detection/Weighted Local Entropy/MATLAB/Image Processing/Missing Pick/Broken End分类
轻工纺织引用本文复制引用
赵训明,邓中民,冉友廷..基于加权局部熵的织物疵点检测[J].棉纺织技术,2012,40(10):20-23,4.基金项目
湖北省重大项目(C2010036) （C2010036）
