Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection  

作　　者：李立轻 黄秀宝 

机构地区：[1]College of Textiles,Dong Hua University,Shanghai,200051

出　　处：《Journal of Donghua University(English Edition)》2002年第4期52-56,共5页东华大学学报（英文版）

基　　金：the Research Fund for the Doctoral Program of Higher Education(No.99025508)

摘　　要：The wavelet adapted to the fabric texture can be developed from the orthogonal and normal series which are selected randomly by means of Monte Carlo method and op timized by adding certain constraint conditions.Then the fabric image can be decomposed into the subimages by the adaptive wavelet transform and the horizontal and vertical texture information will be perfectly contained in the subimages. Therefore this method can be effectively used for the automatic inspection of the fabric defects.The wavelet adapted to the fabric texture can be developed from the orthogonal and normal series which are selected randomly by means of Monte Carlo method and optimized by adding certain constraint conditions. Then the fabric image can be decomposed into the subimages by the adaptive wavelet transform and the horizontal and vertical texture information will be perfectly contained in the subimages. Therefore this method can be effectively used for the automatic inspection of the fabric defects.

关 键 词：FABRIC defect  DEFECT inspection  adaptive WAVELET transform  image DECOMPOSITION 

分 类 号：N[自然科学总论]