| 基于免疫密母算法的图像分割 |
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| 引用本文： | 马文萍,李聪玲,黄媛媛,焦李成.基于免疫密母算法的图像分割[J].工程数学学报,2012(4):477-485. |
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| 作者姓名： | 马文萍 李聪玲 黄媛媛 焦李成 |
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| 作者单位： | 西安电子科技大学智能感知与图像理解教育部重点实验室 |
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| 基金项目： | 中央高校基本科研业务费(K50510020011);教育部长江学者和创新团队发展计划(IRT1170);陕西省自然科学基金(2010JQ8023)~~ |
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| 摘 要： | 密母算法具有全局和局部搜索能力,但其具有对参数敏感、个体学习计算复杂度高的缺点.为了克服密母算法的缺点,本文提出了基于免疫密母算法的图像分割(IMAIS)方法.该方法对图像分割时采用了两个种群,并分别用密母算子和免疫克隆算子对这两个种群同时进化,加快种群收敛速度.实验结果表明了本方法的可行性和有效性.
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| 关 键 词： | 图像分割 密母算法 免疫克隆算法 进化算法 |
Image Segmentation Based on Immune Clone Memetic Algorithm |
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| MA Wen-ping,LI Cong-ling,HUANG Yuan-yuan,JIAO Li-cheng.Image Segmentation Based on Immune Clone Memetic Algorithm[J].Chinese Journal of Engineering Mathematics,2012(4):477-485. |
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| Authors: | MA Wen-ping LI Cong-ling HUANG Yuan-yuan JIAO Li-cheng |
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| Affiliation: | (Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China,Xidian University,Xi’an 710071) |
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| Abstract: | Memetic algorithm is sensitive to parameters and shows high computational complexity in individual learning even though it exhibits the capability of global and local searching.In this paper,a novel immune memetic algorithm for image segmentation(IMAIS) is proposed to overcome these defects.Two different populations co-evolved by applying memetic operator and immune operator respectively are used in this algorithm to accelerate the speed of convergence.Experiments show that the algorithm is effcient and reliable. |
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| Keywords: | image segmentation memetic algorithm immune clone algorithm evolutionary algorithm |
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