计算机工程 ›› 2009, Vol. 35 ›› Issue (19): 206-209.doi: 10.3969/j.issn.1000-3428.2009.19.069

• 图形图像处理 • 上一篇    下一篇

基于CPSO的二维Otsu图像分割法

王 忠1,付阿利2   

  1. (1. 青海师范大学计算机科学系,西宁 810008;2. 陕西师范大学计算机科学学院,西安 710062)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-10-05 发布日期:2009-10-05

2D Otsu Image Segmentation Method Based on CPSO

WANG Zhong1, FU A-li2   

  1. (1. Department of Computer Science, Qinghai Normal University, Xining 810008;
    2. School of Computer Science, Shaanxi Normal University, Xi’an 710062)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-10-05 Published:2009-10-05

摘要: 二维Otsu方法同时考虑了图像的灰度信息和像素间的空间邻域信息,图像分割效果好但算法计算量较大。针对上述情况,提出一种基于混沌粒子群优化算法(CPSO)的策略,将其用于二维Otsu方法中,并与标准粒子群优化算法(SPSO)进行仿真实验对比。实验结果表明,该方法可以提高分割速度,克服SPSO的缺点,图像分割结果较理想。

关键词: 图像分割, 二维Otsu方法, 混沌粒子群优化算法

Abstract: 2D Otsu method considers both the gray information and spatial neighbor information between pixels in the image, so it is efficient but with larger computing load. This paper proposes a strategy based on Chaos Particle Swarm Optimization(CPSO), applies it into 2D Otsu method, and makes simulation experiments to compare the method and Standard PSO(SPSO). Experimental results show that this method can increase the speed of segmentation, overcome the disadvantage of SPSO, and gain the ideal result of the image segmentation.

Key words: image segmentation, 2D Otsu method, Chaos Particle Swarm Optimization(CPSO)

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