2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

Technical Program

Paper Detail

Paper:MP-L2.1
Session:Image And Video Segmentation II: Texture Segmentation
Time:Monday, September 17, 14:30 - 14:50
Presentation: Lecture
Title: PATTERNED FABRIC DEFECT DETECTION USING A MOTIF-BASED APPROACH
Authors: Henry Y.T. Ngan; University of Hong Kong 
 Grantham K.H. Pang; University of Hong Kong 
 Nelson H.C. Yung; University of Hong Kong 
Abstract: This paper proposed a patterned fabric defect detection method for sixteen out of seventeen wallpaper groups using a motif-based approach. From the symmetry properties of motifs, the energy of moving subtraction and its variance among motifs are mapped onto an energy-variance space. By learning the distribution of defect-free and defective patterns in this space, boundaries conditions can be determined for defect detection purpose. The proposed method is evaluated on four wallpaper categories, from which all 16 wallpaper groups can be generalized. Altogether, 160 defect-free lattices samples are used for learning the decision boundaries; and 200 other defect-free and 138 other defective samples are used for testing. An overall detection accuracy has reached 93.61%, which outperforms previous approaches.



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