Textile image segmentation based on semi-supervised clustering and Bayes decision

To improve the technology of the textile CAD,we proposed a new way of textile image segmentation by the minimum error Bayes decision theory based on the semi-supervised clustering.The algorithm makes use of limited human assistance,i.e.indicating the relationship of some different regions by clicking some limited points on the textile image using a mouse,to get the final accurate results of segmentation which satisfies the requirement of customers.The algorithm quantifies the textile image.Then it clusters colors in Bayes decision with prior segmentation information.The results demonstrated that this algorithm is a feasible way for textile image segmentation.