| 广义模糊熵阈值法中基于粒子群优化的参数选取 |
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| 引用本文： | 雷博,范九伦.广义模糊熵阈值法中基于粒子群优化的参数选取[J].控制与决策,2009,24(3). |
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| 作者姓名： | 雷博 范九伦 |
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| 作者单位： | 1. 西安电子科技大学,电子工程学院,西安,710071;西安邮电学院,信息与控制系,西安,710061
2. 西安邮电学院,信息与控制系,西安,710061 |
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| 摘 要： | 针对广义模糊熵图像阈值分割法中参数m的选取问题,提出一种利用优化算法自适应选取参数的广义模糊熵阔值分割方法.该方法通过粒子群优化算法,依据图像分割质量评价准则对参数m在(0,1)区间进行全局寻优,并依据广义模糊熵最大准则对S型隶属度函数中的3个参数(a,b,d)进行全局组合寻优,从而实现了广义模糊熵图像阈值分割方法的自动阈值选取.实验结果表明,该方法对光照不均匀图像具有更好的分割效果.
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| 关 键 词： | 图像分割 粒子群优化算法 广义模糊熵 |
Parameter selection of generalized fuzzy entropy-based thresholding segmentation method with particle swarm optimization |
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| LEI Bo,FAN Jiu-lun.Parameter selection of generalized fuzzy entropy-based thresholding segmentation method with particle swarm optimization[J].Control and Decision,2009,24(3). |
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| Authors: | LEI Bo FAN Jiu-lun |
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| Affiliation: | 1.School of Electronic Engineering;Xidian University;Xi'an 710071;China;2.Department of Information and Control;Xi'an Institute of Post and Telecommunications;Xi'an 710061;China. |
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| Abstract: | A parameter adaptive selection generalized fuzzy entropy-based image thresholding method is proposed based on the problem of how to find the parameter m in the generalized fuzzy entropy with optimization algorithm.Based on an image segmentation quality evaluation criterion and the maximum fuzzy entropy criterion,by using particle swarm optimization,the optimal parameter m and the membership function parameters(a,b,d) are automatically determined respectively,which realizes the aim of automatic selection the... |
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| Keywords: | Image segmentation Particle swarm optimization Generalized fuzzy entropy |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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