To improve the segmentation quality and efficiency of color image,a novel approach which combines the advantages of the mean shift(MS) segmentation and improved ant clustering method is proposed.The regions which can ...To improve the segmentation quality and efficiency of color image,a novel approach which combines the advantages of the mean shift(MS) segmentation and improved ant clustering method is proposed.The regions which can preserve the discontinuity characteristics of an image are segmented by MS algorithm,and then they are represented by a graph in which every region is represented by a node.In order to solve the graph partition problem,an improved ant clustering algorithm,called similarity carrying ant model(SCAM-ant),is proposed,in which a new similarity calculation method is given.Using SCAM-ant,the maximum number of items that each ant can carry will increase,the clustering time will be effectively reduced,and globally optimized clustering can also be realized.Because the graph is not based on the pixels of original image but on the segmentation result of MS algorithm,the computational complexity is greatly reduced.Experiments show that the proposed method can realize color image segmentation efficiently,and compared with the conventional methods based on the image pixels,it improves the image segmentation quality and the anti-interference ability.展开更多
A special designed multi-functional dyeing auxiliary, SFR-503, is adopted in mordant dyeing process for cashmere fibers, sliver and fabric. The results of decreasing dyeing temperature, shortening the dyeing period, r...A special designed multi-functional dyeing auxiliary, SFR-503, is adopted in mordant dyeing process for cashmere fibers, sliver and fabric. The results of decreasing dyeing temperature, shortening the dyeing period, reducing the fiber damage and improved quality of the cashmere have been obtained. The percentage of dyeing exhaustion and color fastness of final products were further improved in this regards. A suggested technique, bath ratio, dyeing process curve and dye recipe were raised in the paper. SFR-503’s swelling, wetting, leveling, brightening effect for cashmere during dyeing process were discussed.展开更多
基金Project(60874070) supported by the National Natural Science Foundation of China
文摘To improve the segmentation quality and efficiency of color image,a novel approach which combines the advantages of the mean shift(MS) segmentation and improved ant clustering method is proposed.The regions which can preserve the discontinuity characteristics of an image are segmented by MS algorithm,and then they are represented by a graph in which every region is represented by a node.In order to solve the graph partition problem,an improved ant clustering algorithm,called similarity carrying ant model(SCAM-ant),is proposed,in which a new similarity calculation method is given.Using SCAM-ant,the maximum number of items that each ant can carry will increase,the clustering time will be effectively reduced,and globally optimized clustering can also be realized.Because the graph is not based on the pixels of original image but on the segmentation result of MS algorithm,the computational complexity is greatly reduced.Experiments show that the proposed method can realize color image segmentation efficiently,and compared with the conventional methods based on the image pixels,it improves the image segmentation quality and the anti-interference ability.
文摘A special designed multi-functional dyeing auxiliary, SFR-503, is adopted in mordant dyeing process for cashmere fibers, sliver and fabric. The results of decreasing dyeing temperature, shortening the dyeing period, reducing the fiber damage and improved quality of the cashmere have been obtained. The percentage of dyeing exhaustion and color fastness of final products were further improved in this regards. A suggested technique, bath ratio, dyeing process curve and dye recipe were raised in the paper. SFR-503’s swelling, wetting, leveling, brightening effect for cashmere during dyeing process were discussed.
