{"title":"基于机器视觉的管板焊接质量检测算法","authors":"Huihui Chu, Zong-Yi Wang, Xiang Luo","doi":"10.1109/ARSO.2016.7736295","DOIUrl":null,"url":null,"abstract":"In order to realize the on-line quality inspection of tube-sheet welding, this paper establishes a vision-based quality inspection system to realize the defect detection. And image processing, as the most important part of inspection system, is in-depth studied. Image processing algorithms include two parts: preprocessing and defect detection. Image preprocessing includes median filter, Otsu segmentation, morphological operation, ROI (region of interest) and area smooth. In the defect detection part, the sum intensity of tube is used to judge whether there is a defect and the position of defect is determined accurately. Experimental results show that the image processing method can be widely used with high reliability and robustness.","PeriodicalId":403924,"journal":{"name":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Quality inspection algorithm based on machine vision for tube-sheet welding\",\"authors\":\"Huihui Chu, Zong-Yi Wang, Xiang Luo\",\"doi\":\"10.1109/ARSO.2016.7736295\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to realize the on-line quality inspection of tube-sheet welding, this paper establishes a vision-based quality inspection system to realize the defect detection. And image processing, as the most important part of inspection system, is in-depth studied. Image processing algorithms include two parts: preprocessing and defect detection. Image preprocessing includes median filter, Otsu segmentation, morphological operation, ROI (region of interest) and area smooth. In the defect detection part, the sum intensity of tube is used to judge whether there is a defect and the position of defect is determined accurately. Experimental results show that the image processing method can be widely used with high reliability and robustness.\",\"PeriodicalId\":403924,\"journal\":{\"name\":\"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ARSO.2016.7736295\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE Workshop on Advanced Robotics and its Social Impacts (ARSO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ARSO.2016.7736295","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Quality inspection algorithm based on machine vision for tube-sheet welding
In order to realize the on-line quality inspection of tube-sheet welding, this paper establishes a vision-based quality inspection system to realize the defect detection. And image processing, as the most important part of inspection system, is in-depth studied. Image processing algorithms include two parts: preprocessing and defect detection. Image preprocessing includes median filter, Otsu segmentation, morphological operation, ROI (region of interest) and area smooth. In the defect detection part, the sum intensity of tube is used to judge whether there is a defect and the position of defect is determined accurately. Experimental results show that the image processing method can be widely used with high reliability and robustness.