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一种基于膜计算的遗传算法图像分割方法 被引量:2

A GA-based Image Segmentation Using Membrane Computing
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摘要 提出了一种基于膜计算的改进遗传算法图像分割方法。设计了一个三层膜的细胞型P系统,各个膜通过运行进化规则和交流规则进行寻优。该算法融合了P系统的极大并行性与遗传算法的良好收敛性,并通过与传统遗传算法、Otsu法的实验比较验证了所提出的图像分割方法的可行性与有效性。 This paper introduces an improved GA-based image segmentation using Membrane Computing.The system is three-IeveI structure,the membranes searches the best threshoId by the evoIution ruIes and communication ruIes.This aIgorithm combines the paraI eIism of P system and the good convergence of genetic aIgorithm,and the comparative experimentaI re-suIts of the aIgorithm,traditionaI GA and Otsu show the effectiveness and feasibiIity of the proposed method.
作者 谢佩军
机构地区 宁波大红鹰学院
出处 《工业控制计算机》 2015年第4期92-94,共3页 Industrial Control Computer
基金 浙江省教育厅科研课题(Y200907175)
关键词 膜计算 KSW熵 遗传算法 图像分割 membrane computing KSW Entropy genetic aIgorithm image segmentation
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参考文献7

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二级参考文献41

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