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基于遗传算法的阈值图像分割研究
引用本文:汪筱红,须文波.基于遗传算法的阈值图像分割研究[J].太原师范学院学报(自然科学版),2007,6(3):111-113,144.
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,江苏,无锡,214021
2. 江南大学,信息工程系,江苏,无锡,214021
摘    要:图像阈值分割技术在图像分析和图像识别中具有重要的意义,最大熵方法具有很多优点,但同时也存在弱点:需要大量的运算时间,因此需要引入优化算法,文中将遗传算法用于最大熵阈值的图像分割方法中,提出了一种基于遗传算法的最大熵阈值图像分割方法。仿真实验表明,该方法可以有效地提高最大熵图像分割的计算速度,提高图像处理的实时性。

关 键 词:遗传算法  图像分割  阈值  群智能
文章编号:1672-2027(2007)03-0111-03
修稿时间:2007-05-16

Study on Threshold Image Segmentation Based on Genetic Algorithm
Wang Xiaohong,Xu Wenbo.Study on Threshold Image Segmentation Based on Genetic Algorithm[J].Journal of Taiyuan Normal University:Natural Science Edition,2007,6(3):111-113,144.
Authors:Wang Xiaohong  Xu Wenbo
Institution:1. Department of Computer Science and Engineering,Wuxi Radio and TV University,Wuxi 214021 ; 2. Department of Computer Science and Engineering ,Jiangnan University, Wuxi 214021 ,China
Abstract:Image thresholding segmentation is important in image analysis and recognition. The maximum entropy thresholding segmentation method has many advantages. However,it has its weakness.it needs a great deal of computational time. So it needs to import optimiza2tion technique. The maximum entropy thresholding segmentation method is implemented using genetic algorithm. An maximum en2tropy thresholding segmentation method with genetic algorithm is presented. The experiment results show that the segmentation method can improve the speed of segmentation greatly.
Keywords:genetic algorithm  image segmentation  threshold  swarm intelligence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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