会议专题

Two-dimensional Entropy Segmentation of Fabric Printing Pattern based on TENT Mapping Pso

TENT mapping PSO has been proposed with analysis of PSOs fundamental principles and performance, in combination with TENT mapping chaos optimization methods high optimization efficiency. The algorithm is applied in the two-dimensional entropy image segmentation, enhancing the search speed of the best threshold in the two-dimensional histogram space. Two-dimensional entropy segmentation based on TENT mapping PSO is applied in Segmentation of fabric printing pattern, and the speed of which is fast, and Accuracy of which is high. Two fabric printing pattern are segmented with this algorithm, the experimental result indicated that the algorithm is effective. The continuous edge and clear contour are kept in the pattern image segmented by this method

PSO TENT mapping Two-dimensional entropy printing pattern image segmentation

Chen Jiancheng Tu Angyan

School of Computer Zhejiang Industry Polytechnic College, Shaoxing Zhejiang Shaoxing,China Computer Center Shaoxing University Shaoxing, China

国际会议

2010 3rd IEEE International Conference on Computer Science and Information Technology(第三届IEEE计算机科学与信息技术国际会议 ICCSIT 2010)

成都

英文

269-273

2010-07-07(万方平台首次上网日期,不代表论文的发表时间)