首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于混沌微粒群和二维Otsu法的图像快速分割
引用本文:胡亮,董万,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.
作者姓名:胡亮  董万  李柏林  黎明  陈浩  王远  张成鑫  许州
作者单位:1. 西南交通大学机械工程学院,成都,610031
2. 中国工程物理研究院应用电子学研究所,四川绵阳,621900
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。

关 键 词:图像分割  微粒群  混沌优化  二维Otsu法

Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method
HU Liang,DONG Fang,LI Bo-ling,LI Ming,CHEN Hao,WANG Yuan,ZHANG Cheng-xing,XU Zhou.Fast Image Segmentation Based on Chaotic Particle Swarm and Two-Dimension Otsu Method[J].Computerized Tomography Theory and Applications,2009,18(1):29-34.
Authors:HU Liang  DONG Fang  LI Bo-ling  LI Ming  CHEN Hao  WANG Yuan  ZHANG Cheng-xing  XU Zhou
Institution:HU Liang1,DONG Fang1,LI Bo-ling1,LI Ming2,CHEN Hao2,WANG Yuan2,ZHANG Cheng-xing2,XU Zhou2 1.School of Mechanical Engineering,Southwest Jiaotong University,Chengdu,610031,China 2.Institute of Applied Electrinics AEP,Mianyang,621900,China
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 w...
Keywords:image segmentation  particle swarm  chaotic optimization  2-D Otsu  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号