首页 | 本学科首页   官方微博 | 高级检索  
     

基于遗传算法的图像阈值分割研究
引用本文:孙凤杰,王鹤,范杰清.基于遗传算法的图像阈值分割研究[J].电力系统通信,2008,29(11).
作者姓名:孙凤杰  王鹤  范杰清
作者单位:华北电力大学,电气与电子工程学院,北京,102206
摘    要:主要论述了利用遗传算法进行图像阈值分割的实现方法,重点研究了最大熵和最大类间方差2种阈值分割方法.将通信电源配电屏开关图片作为研究对象,分别采用基于传统搜索算法和遗传算法的最大熵和最大类间方差法对其灰度图进行阈值分割,并应用Visual C 编程实现.实验结果表明,基于遗传算法的最大类间方差法的分割效果好,更好地满足了通信设备对远程视频监控与识别系统中图像分割实时性的需求.

关 键 词:视频监控  图像处理  阈值分割  遗传算法

Study on image threshold segmentation based on genetic algorithm
SUN Feng-jie,WANG He,FAN Jie-qing.Study on image threshold segmentation based on genetic algorithm[J].Telecommunications for Electric Power System,2008,29(11).
Authors:SUN Feng-jie  WANG He  FAN Jie-qing
Abstract:This paper discusses the implementation means of image threshold segmentation based on genetic algorithm and the maximum entropy and Otsu threshold segmentation methods.By studying the switch image of communication power supply distribution screen,it introduces the threshold segmentation for gray image by using maximum entropy and Otsu methods based on traditional search and genetic algorithm together with the programs of Visual C software.The results show that this method can satisfy the demands of real-time image segmentation in remote video monitoring and recognition system.
Keywords:video monitoring  image processing  threshold segmentation  genetic algorithm
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号