{"title":"平面目标图像的快速椭圆检测方法","authors":"Shengnan Zhang, Shuang Yang, Lianqiang Niu, Wei-qi Yuan","doi":"10.1109/ICDMA.2012.10","DOIUrl":null,"url":null,"abstract":"Aim at the target image with high quality and strong regular pattern, a fast ellipse detection method is presented in this paper. According to the topological structure of the target pattern, the method quickly collects edge points and calculates the possible ellipses, then verifies the possible ellipses to further determine the final correct geometric parameters of ellipses by using the ellipse raster conversion process. The proposed method does not depend on edge detection and spatial transformation operation, it significantly reduces the amount of calculation. Experimental results demonstrate that this method not only can guarantee the extraction accuracy, but also meet the requirement of fast on-line detection of the target image.","PeriodicalId":393655,"journal":{"name":"International Conference on Digital Manufacturing and Automation","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Fast Ellipse Detection Method in Planar Target Image\",\"authors\":\"Shengnan Zhang, Shuang Yang, Lianqiang Niu, Wei-qi Yuan\",\"doi\":\"10.1109/ICDMA.2012.10\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aim at the target image with high quality and strong regular pattern, a fast ellipse detection method is presented in this paper. According to the topological structure of the target pattern, the method quickly collects edge points and calculates the possible ellipses, then verifies the possible ellipses to further determine the final correct geometric parameters of ellipses by using the ellipse raster conversion process. The proposed method does not depend on edge detection and spatial transformation operation, it significantly reduces the amount of calculation. Experimental results demonstrate that this method not only can guarantee the extraction accuracy, but also meet the requirement of fast on-line detection of the target image.\",\"PeriodicalId\":393655,\"journal\":{\"name\":\"International Conference on Digital Manufacturing and Automation\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Digital Manufacturing and Automation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDMA.2012.10\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Digital Manufacturing and Automation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMA.2012.10","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Fast Ellipse Detection Method in Planar Target Image
Aim at the target image with high quality and strong regular pattern, a fast ellipse detection method is presented in this paper. According to the topological structure of the target pattern, the method quickly collects edge points and calculates the possible ellipses, then verifies the possible ellipses to further determine the final correct geometric parameters of ellipses by using the ellipse raster conversion process. The proposed method does not depend on edge detection and spatial transformation operation, it significantly reduces the amount of calculation. Experimental results demonstrate that this method not only can guarantee the extraction accuracy, but also meet the requirement of fast on-line detection of the target image.