首页 | 本学科首页   官方微博 | 高级检索  
     检索      

Relief算法在关门车故障自动识别中的应用
引用本文:赖冰凌,王新宇.Relief算法在关门车故障自动识别中的应用[J].铁路计算机应用,2007,16(1):21-23.
作者姓名:赖冰凌  王新宇
作者单位:哈尔滨铁路局,哈尔滨科研所,哈尔滨,150009%北京交通大学,交通运输学院,北京,100044
摘    要:针对货车运行故障动态图像检测(TFDS)系统中的图像识别问题,提出一种基于Relief算法的解决方案.该方案采用梯度-共生矩阵的数字特征来描述一幅图像,然后通过Relief算法进行有效的特征选择,根据这些特征,通过模板匹配技术,最终检测出关门车故障.现场运用表明,该方案具有很高的实用性.

关 键 词:共生矩阵    Relief算法    模板匹配    图像识别
文章编号:1005-8451(2007)01-0021-03
收稿时间:2007-01-15
修稿时间:2006-06-06

Application of Relief algorithm to valve closing trouble automatic recognition
LAI Bing-ling,WANG Xin-yu.Application of Relief algorithm to valve closing trouble automatic recognition[J].Railway Computer Application,2007,16(1):21-23.
Authors:LAI Bing-ling  WANG Xin-yu
Institution:1.Harbin Institute of Science and Technology, Harbin Railway Administration, Harbin 150009, China; 2,School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Abstract:A new method based on relief algorithm was proposed to solve image recognition problem in Trouble Frightcar of Moving Detection System(TFDS).A single image was described by numerical characteristics of co-occurrence matrix.Relief algorithm was used to evaluate the importance of every characteristics.Template matching was used in image recognition in TFDS.Experimental results showed that this method was efficient and applied.
Keywords:co-occurrence matrix  Relief algorithm  template matching  image recognition
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《铁路计算机应用》浏览原始摘要信息
点击此处可从《铁路计算机应用》下载免费的PDF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