首页 | 官方网站   微博 | 高级检索  
     

基于CA和OTSU的电气设备红外图像分割方法
引用本文:门 洪,于加学,秦 蕾.基于CA和OTSU的电气设备红外图像分割方法[J].电力自动化设备,2011,31(9):92-95.
作者姓名:门 洪  于加学  秦 蕾
作者单位:东北电力大学自动化工程学院,吉林吉林,132012
基金项目:国家自然科学基金资助项目(50977080);教育部课题(2009 - ZX - 052) ;湖南省自然科学基金资助项目(08JJ6029)
摘    要:针对电气设备红外图像中需要对目标进行识别和诊断的需求,提出了一种基于元胞自动机(CA)与最大类间方差(OTSU)法的图像增强与分割算法.首先采用高帽、低帽变换结合的方法对电气设备红外图像进行增强,时增强后的图像采用CA法进行边缘提取,并进行二值化处理,最后与经过OTSU算法分割后的红外图像进行融合.实验结果表明采用该算...

关 键 词:电气设备  红外成像  图像识别  图像分割  元胞自动机  高帽、低帽变换  最大类间方差

Segmentation of electric equipment infrared image based on CA and OTSU
MEN Hong,YU Jiaxue and QIN Lei.Segmentation of electric equipment infrared image based on CA and OTSU[J].Electric Power Automation Equipment,2011,31(9):92-95.
Authors:MEN Hong  YU Jiaxue and QIN Lei
Affiliation:School of Automation Engineering,Northeast Dianli University,Jilin 132012,China;School of Automation Engineering,Northeast Dianli University,Jilin 132012,China;School of Automation Engineering,Northeast Dianli University,Jilin 132012,China
Abstract:An image enhancement and segmentation algorithm is put forward for the object recognition and diagnosis of electric equipment infrared images based on CA(Cellular Automata) and OTSU method. The top hat transformation and low cap transformation are combined to enhance the infrared images of electric equipment and CA is then applied to detect the edges of the enhanced images,which are transformed into binary variables and merged into images segmented by OTSU. Experimental results show that,after algorithm processing, the objects of infrared image become clearer and more suitable for observation by naked eyes.
Keywords:electric equipment  infrared imaging  image recognition  image segmentation  cellular automata  top hat transformation and low cap transformation  OTSU
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《电力自动化设备》浏览原始摘要信息
点击此处可从《电力自动化设备》下载全文
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-23

京公网安备 11010802026262号