{"title":"Multi region segmentation algorithm based on edge preserving for molten pool image","authors":"Fei Gao, Mingli Lu, Benlian Xu, Qian Zhang","doi":"10.1109/ICCAIS.2016.7822462","DOIUrl":null,"url":null,"abstract":"This paper is aimed at the difficult problem of multi region segmentation of weld pool image, analyzed The difficulty of edge extraction in the inner region of the weld pool. According to the characteristics between pixel neighborhood space and neighbor pixel correlation, based on local standard deviation, presented a noise suppression, edge enhancement of the weld pool image multi region division and multi region edge detection algorithm, Through the test of the weld pool image, It shows that the algorithm can accurately divide the internal details of the weld pool. Finally, the Sobel operator, Roberts operator, Prewitt operator and the edge detection results of the weld pool image are analyzed and compared by experiments, The results show that the algorithm in this paper is much better than other algorithms, At last, the accuracy of the algorithm is tested by the difference shadow detection, a continuous multi region edge was obtained by the expansion of corrosion.","PeriodicalId":407031,"journal":{"name":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 International Conference on Control, Automation and Information Sciences (ICCAIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAIS.2016.7822462","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
This paper is aimed at the difficult problem of multi region segmentation of weld pool image, analyzed The difficulty of edge extraction in the inner region of the weld pool. According to the characteristics between pixel neighborhood space and neighbor pixel correlation, based on local standard deviation, presented a noise suppression, edge enhancement of the weld pool image multi region division and multi region edge detection algorithm, Through the test of the weld pool image, It shows that the algorithm can accurately divide the internal details of the weld pool. Finally, the Sobel operator, Roberts operator, Prewitt operator and the edge detection results of the weld pool image are analyzed and compared by experiments, The results show that the algorithm in this paper is much better than other algorithms, At last, the accuracy of the algorithm is tested by the difference shadow detection, a continuous multi region edge was obtained by the expansion of corrosion.