| 基于最大模糊熵和微粒群的双阈值图像分割 |
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| 引用本文： | 周鲜成,申群太,王俊年.基于最大模糊熵和微粒群的双阈值图像分割[J].计算机工程与设计,2008,29(12). |
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| 作者姓名： | 周鲜成 申群太 王俊年 |
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| 作者单位： | 1. 湖南商学院,计算机与电子工程系,湖南,长沙,410205;中南大学,信息科学与工程学院,湖南,长沙,410083
2. 中南大学,信息科学与工程学院,湖南,长沙,410083 |
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| 摘 要： | 基于最大模糊熵准则和微粒群算法,提出了一种新的双阈值图像分割方法.该方法通过定义3种模糊隶属度函数,将图像模糊划分为暗、灰和亮3个不同的区域.同时采用微粒群算法搜索最大模糊准则下模糊参数的最优组合,进而确定图像的两个最佳分割阈值.仿真结果表明,该算法具有良好的分割效果和较强的实时处理能力.
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| 关 键 词： | 最大模糊熵 微粒群 阈值 模糊划分 二维灰度直方图 图像分割 |
Double thresholding algorithm for image segmentation based on maximum fuzzy entropy and particle swarm optimization |
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| ZHOU Xian-cheng,SHEN Qun-tai,WANG Jun-nian.Double thresholding algorithm for image segmentation based on maximum fuzzy entropy and particle swarm optimization[J].Computer Engineering and Design,2008,29(12). |
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| Authors: | ZHOU Xian-cheng SHEN Qun-tai WANG Jun-nian |
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| Affiliation: | ZHOU Xian-cheng1,2,SHEN Qun-tai2,WANG Jun-nian2(1.Department of Compute , Electronic Engineering,Hunan Business College,Changsha 410205,China,2.School of Information Science , Engineering,Central South University,Changsha 410083,China) |
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| Abstract: | A double thresholding algorithm for image segmentation based on maximum fuzzy entropy and particle swarm optimization is presented.The image is partion to three parts fuzzily through defining three fuzzy membership functions,including dark,gray and white part.According to the maximum fuzzy entropy principle,the optimal combination of the fuzzy parameters is searched,and the optimal thresholds is determined by particle swarm optimization algorithm.Experimental results show that the proposed method gives bett... |
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| Keywords: | maximum fuzzy entropy particle swarm optimization thresholding fuzzy partition 2D gray histogram image segmentation |
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