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遗传算法在最大熵多阈值分割的应用研究
引用本文:汪筱红,须文波.遗传算法在最大熵多阈值分割的应用研究[J].贵州大学学报(自然科学版),2007,24(4):401-403.
作者姓名:汪筱红  须文波
作者单位:1. 无锡广播电视大学信息工程系,无锡,214021
2. 江南大学信息工程系,无锡,214021
摘    要:图像分割最大熵多阈值算法存在计算复杂度高的弊端,目前针对这个问题所提出的各类算法效果都不太理想。依据遗传算法种群多样性好、收敛速度快的特点,本文将遗传算法应用到图像分割中,提出了一种基于最大熵多阈值分割技术的图像分割算法。仿真实验表明,新算法不仅能够对图像进行准确的分割,而且运行时间明显少于传统的分割算法。

关 键 词:图像分割  遗传算法  多阈值  最大熵
文章编号:1000-5269(2007)04-0401-03
修稿时间:2007-04-09

Study on Maximum Entropy Multilevel Threshold Segmentation Based on Genetic algorithm
WANG Xiao-hong,XU Wen-bo.Study on Maximum Entropy Multilevel Threshold Segmentation Based on Genetic algorithm[J].Journal of Guizhou University(Natural Science),2007,24(4):401-403.
Authors:WANG Xiao-hong  XU Wen-bo
Institution:1. Dept. of Computer Science and Engineering ,Wuxi Radio And TV University,Wuxi 214021, China; 2. Dept. of Computer Science and Engineering,Jiannan University ,Wuxi 214021, China
Abstract:With high computing complexity,traditional maximum entropy multilevel threshold method is a defective method in imagesegmentation,although many algorithms have been proposed to bear on this problem.Considering Genetic Algorithm's ability to retain the diversity of population and to converge rapidly,this paper applies the genetic algorithm in image segmentation,and presents an image segmentation algorithm based on the maximum entropy multilevel threshold method.Simulations show that this method can efficiently segment image.And the new algorithm works more faster then the traditional algorithm.
Keywords:image segmentation  genetic algorithm  multilevel thresholding  maximum entroy
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