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

被引：0
|
作者：
Chen Jiancheng [1 ]
Tu Angyan [2 ]
机构：
[1] Zhejiang Ind Polytechn Coll, Sch Comp, Shaoxing, Zhejiang, Peoples R China
[2] Shaoxing Univ, Ctr Comp, Shaoxing, Peoples R China
来源：
PROCEEDINGS OF 2010 3RD IEEE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY (ICCSIT 2010), VOL 7 | 2010年
关键词：
PSO; TENT mapping; Two-dimensional entropy; printing pattern; image segmentation; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1109/ICCSIT.2010.5565167
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
TENT mapping PSO has been proposed with analysis of PSO's fundamental principles and performance, in combination with TENT mapping chaos optimization method's 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
引用
收藏
页码：269 / 273
页数：5
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