Fabric Defects Image Filtering Method Based on Rough Set and PC Neural Networks
At present, using a computer to fabric defect detection is a hot method in textile quality assess. The contrast of fabric defects images is not high and effects of tradition processing methods are not particularly good. In this paper, therefore, based on Rough Set and Pulse Coupled Neural Networks, a filtering algorithm is proposed and good results have been achieved.
Donald C. Wunsch II, Honghua Tan, Dehuai Zeng, Qi Luo
M. Dong and H. Y. Jiang, "Fabric Defects Image Filtering Method Based on Rough Set and PC Neural Networks", Advanced Materials Research, Vols. 121-122, pp. 1012-1017, 2010