Abstract: According to the type of detected fabrics as well as the research approaches adopted in recent years, this paper briefly summarizes new fabric defect detection system’s application and progress on computer vision and image processing. The theoretical and practical significance are analyzed firstly in the research area of fabric defect detection. We give the two crucial frameworks of a fabric defect detection system: visual image acquisition and defect image detection. Considering that white fabric and yarn-dyed fabric are especially urgent for detection, we lay emphasis on the discussion of the various novel detection methods involved in the two kinds of fabrics, as well as their application effects and deficiencies. Conclusion is lastly reached and some suggestions are put forward for the development of fabric defect detection in the future.

Key words: fabric defect, detection, computer vision, image processing, gray fabric, yarn-dyed fabric