东华大学学报（英文版）2002，Vol.19Issue(1)：35-39,5.
Fabric Defect Detection Using Adaptive Wavelet Transform
Fabric Defect Detection Using Adaptive Wavelet Transform
摘要
Abstract
A method of woven fabric defect detection using the wavelet transform adaptive to the fabric has been developed. With reference to the orthogonality constrains of Daubechies wavelet, by taking the mmimization of the energy or the gray level of the pixels in the output sub-images as the additional conditions and using the random algorithm method, two sets of wavelet filters adapted to the fabric texture were formed. The original images of normal fabric texture and the fabric texture with defects were decomposed into horizontal and vertical sub- images by using these filters and the feature indices of these sub-images were also extracted. By comparing the feature indices of the normal texture with that of the defective texture, the fabric defects can be successfully detected and located.关键词
wavelet transform/adaptive wavelet/image decompose/fabric defect detectionKey words
wavelet transform/adaptive wavelet/image decompose/fabric defect detection分类
轻工纺织引用本文复制引用
LI Li-qing,HUANG Xiu-bao..Fabric Defect Detection Using Adaptive Wavelet Transform[J].东华大学学报（英文版）,2002,19(1):35-39,5.基金项目
This research was supported by the Research Fund for the Doctoral Program of Higher Education, No.99025508. （）
