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基于最大相关法的图像阈值分割
引用本文:吴薇,王甲琛. 基于最大相关法的图像阈值分割[J]. 西安工程科技学院学报, 2005, 19(1): 86-88
作者姓名:吴薇  王甲琛
作者单位:西安武警工程学院通信工程系,陕西西安710086
摘    要:提出了一种基于最大相关准则的图像阈值分割法.该算法比基于最大熵原理的图像分割法更简便.另外,本文采用遗传算法搜索最佳闽值,并对算法中的交叉算子和有关运行参数进行了改进.实验结果证明了该算法的快速性、有效性和稳定性.

关 键 词:图像分割  阈值  最大相关准则  遗传算法
文章编号:1671-850X(2005)01-0086-03
修稿时间:2004-09-16

A thresholding algorithm for image segmentation based on maximum relativity criterion
WU Wei,WANG Jia-chen. A thresholding algorithm for image segmentation based on maximum relativity criterion[J]. Journal of Xi an University of Engineering Science and Technology, 2005, 19(1): 86-88
Authors:WU Wei  WANG Jia-chen
Abstract:Based on maximum relativity criterion , a new thresholding algorithm for image segmentation is proposed which is more simple than the thresholding algorithm based on maximum entropy. The genetic algorithm is used to find the best thresholds , and improvements were made on crossover oprator and some caculation parameters. Experiments show that good results can be achieved steadily and quickly.
Keywords:image segmentation  threshold  maximum relativity criterion  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
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