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Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection
作者姓名:李立轻  黄秀宝
作者单位:College of Textiles,Dong Hua University,Shanghai,200051,College of Textiles,Dong Hua University,Shanghai,200051
基金项目: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 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.


Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection
LI Li-qing,HUANG Xiu-bao.Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection[J].Journal of Donghua University,2002,19(4).
Authors:LI Li-qing  HUANG Xiu-bao
Institution:College of Textiles, Dong Hua University, Shanghai, 200051
Abstract: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.
Keywords:fabric defect  defect inspection  adaptive wavelet transform  image decomposition
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