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基于细菌趋药性的Ostu双阈值图像分割算法
引用本文:郭永芳,于明,黄凯.基于细菌趋药性的Ostu双阈值图像分割算法[J].计算机工程,2011,37(22):8-11.
作者姓名:郭永芳  于明  黄凯
作者单位:1. 河北工业大学计算机科学与软件学院
2. 电气学院,天津,300130
基金项目:河北省教育厅自然科学基金资助重点项目(ZD200911)
摘    要:双阈值或多阈值分割对于复杂图像具有较好的分割效果,但算法计算量较大,不适合实时应用。为此,提出一种基于细菌趋药性、利用域间最大方差的双阈值图像分割优化算法。仿真结果证明,与传统穷尽式搜索算法相比,该算法能在保证分割效果的前提下,降低时间复杂度。

关 键 词:细菌趋药性  Ostu算法  图像分割  双阈值  穷尽式搜索  优化算法
收稿时间:2011-09-05

Ostu Dual-threshold Image Segmentation Algorithm Based on Bacterial Chemotaxis
GUO Yong-fang,YU Ming,HUANG KAI.Ostu Dual-threshold Image Segmentation Algorithm Based on Bacterial Chemotaxis[J].Computer Engineering,2011,37(22):8-11.
Authors:GUO Yong-fang  YU Ming  HUANG KAI
Affiliation:GUO Yong-fanga,YU Minga,HUANG Kaib(a.School of Computer Science and Software,b.School of Electrical Engineering,Hebei University of Technology,Tianjin 300130,China)
Abstract:Single-threshold segmentation methods are not suit for complex images,for such complex images,dual-threshold or multi-threshold are better choices,while they are needed to search for the every candidate position in the searching space,which make them require significantly more computation time and can not satisfy the demand of real-time applications.For the reason,this paper proposes an optimization image segmentation method using dual-threshold based on bacterial chemotaxis.Simulation results show that the...
Keywords:Bacterial Chemotaxis(BC)  Ostu algorithm  image segmentation  dual-threshold  exhaustive searching  optimization algorithm  
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