Two-dimensional Otsu Image Segmentation Algorithm Based on the Particle Swarm Optimization Algorithm

摘要：

As classic segmentation method, Otus has been widely used in image field. Aiming at the problems that generally Otus two-dimensional form can not find the most optimal thresholds and need long time to calculate, the paper proposes an algorithm to lead particle swarm algorithm in the generally optimal threshold algorithm and gives the simulations results. Experimental results show that, compared with the existing algorithms, the algorithm has good segmentation effects and compute time efficiency.

关键词： PSO 2D otsu image segment measure function threshold

作者: Li Yi-bing Meng Ting Li Ao

作者单位: Harbin Engineering University Harbin, China

会议类型: 国际会议

会议名称: 2010 Third Pacific-Asia Conference on Web Mining and Web-based Application(2010年第三届web挖掘和基于web应用亚太会议 WMWA 2010)

会议地点: 桂林

会议语种:英文

页码: 95-97

在线出版日期: 2010-11-17（万方平台首次上网日期，不代表论文的发表时间）