首页 | 官方网站   微博 | 高级检索  
     

MAG焊熔池图像的灰度形态学分析
引用本文:薛家祥,张丽玲.MAG焊熔池图像的灰度形态学分析[J].焊接学报,2006,27(4):13-16.
作者姓名:薛家祥  张丽玲
作者单位:1. 华南理工大学,机械工程学院,广州,510640
2. 南昌工程学院,南昌,330099
摘    要:图像处理在焊接过程跟踪控制和焊接质量建模中越来越受到重视,而MAG焊是目前国内最常见的焊接方法之一,作者采用数学形态学的方法来进行MAG焊熔池图像的分析.针对MAG焊图像,除了进行灰度形态学的四种基本运算之外,提出了一套完整的从图像的预处理到边缘检测形态学算法.结果表明,灰度形态学算法非常适合于处理焊接熔池图像.

关 键 词:灰度形态学  图像处理  边缘检测
文章编号:0253-360X(2006)04-013-04
收稿时间:2005-09-22
修稿时间:2005-09-22

Gray scale morphological analysis on molten pool image of metal active-gas welding
XUE Jia-xiang and ZHANG Li-ling.Gray scale morphological analysis on molten pool image of metal active-gas welding[J].Transactions of The China Welding Institution,2006,27(4):13-16.
Authors:XUE Jia-xiang and ZHANG Li-ling
Affiliation:South China University of Technology, Guangzhou 510640, China and Nanchang College of Engineering, Nanchang 330099, China
Abstract:In the welding process,the method of image processing has been getting more and more important,especially in tracking control and quality molding.The mathematical morphology is used to analyze the MAG(metal active-gas) welding images.In addition to using the four fundamental gray-scale morphological operations,we especially design a set of the gray-scale morphological algorithms from the image preprocessing to the edge detection on the MAG welding image.The experiment results illustrated that the chosen algorithms were very suitable to the image processing of the welding molten pool.
Keywords:gray-scale morphological  image processing  edge detection
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《焊接学报》浏览原始摘要信息
点击此处可从《焊接学报》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