Application of 2D Entropic Segmentation Method Basedon Particle Swarm Optimization Algorithm

摘要：

Image segmentation represents the first step in many applications in image understanding. Thresholding is a simple and important method in image segmentation. Two-dimensional entropy uses both the gray value of a pixel and the local average gray value of it, and thus provides better results than that of one-dimension entropy. But for more accurate thresholding, much more time has to pay. Hence, the proposed method introduces Particle Swarm Optimization algorithm into two-dimensional entropy method to overcome its drawback of computationally expensive. Experimental results show that the proposed method can reveal very encouraging results in terms of the quality of solution found and the processing time required.

作者: Zhiwei Ye Hongwei Chen Wei Liu Jinping Zhang

作者单位: School of Computer Science, Hubei University of Technology, Wuhan,.China School of Computer Science, Hubei University of Technology, Wuhan, China School of Remote Sensing and Information Engineering Wuhan University, Wuhan,China

会议类型: 国际会议

会议名称: Third International Symposium on Intelligence Computation and Applications(ISICA 2008)(第三届智能自动化、计算与制造国际研讨会)

会议地点: 武汉

会议语种:英文

页码: 3-6

在线出版日期: 2008-12-19（万方平台首次上网日期，不代表论文的发表时间）