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		题名	作者	年代	出处	被引量
	1	Fabric Defect Detection Using Adaptive Wavelet Transform显示文摘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.	李立轻黄秀宝	2002	Journal of Donghua University(English Edition)2002，19，1：	4
	2	Realization of Orthogonal Wavelets Adapted to Fabric Texture for Defect Detection显示文摘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.	李立轻黄秀宝	2002	Journal of Donghua University(English Edition)2002，19，4：	1

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