ISSN 1004-4140
CN 11-3017/P
胡亮, 董方, 李柏林, 黎明, 陈浩, 王远, 张成鑫, 许州. 基于混沌微粒群和二维Otsu法的图像快速分割[J]. CT理论与应用研究, 2009, 18(1): 29-34.
引用本文: 胡亮, 董方, 李柏林, 黎明, 陈浩, 王远, 张成鑫, 许州. 基于混沌微粒群和二维Otsu法的图像快速分割[J]. CT理论与应用研究, 2009, 18(1): 29-34.
shu
HU Liang, DONG Fang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J]. CT Theory and Applications, 2009, 18(1): 29-34.
Citation: HU Liang, DONG Fang, LI Bo-lin, LI Ming, CHEN Hao, WANG Yuan, ZHANG Cheng-xin, XU Zhou. Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J]. CT Theory and Applications, 2009, 18(1): 29-34.
shu

基于混沌微粒群和二维Otsu法的图像快速分割

Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method

    摘要
  • 摘要: 为了解决二维Otsu法在求取最佳阈值时存在计算量大,及微粒群算法容易陷入局部最优且速度较慢等问题,提出一种将混沌微粒群优化算法和二维Otsu法相结合的图像分割方法。利用混沌微粒群优化算法,实现二维阈值向量的快速全局搜索。实验证明,该算法对复杂图像具有良好的分割效果和较强的实时处理能力。

     

    Abstract: The computation burden of finding optimal threshold vector was very large for 2-D Otsu method,and the PSO algorithm can easily lead to local optimal issues,In order to solve these problems,a feature image segmentation was presented based on the CPSO algorithm and 2-D Otsu image segmentation method.CPSO algorithm was used to realize the rapid global optimization and search for the optimal threshold value of two-dimensional vector.Simulation results show that the proposed algorithm has good results to image which is similar to the core and a strong real-time processing capability.

     

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