{"title":"一种快速自动椭圆探测器","authors":"T. Cooke","doi":"10.1109/DICTA.2010.102","DOIUrl":null,"url":null,"abstract":"In 2002, Kim et al described a fast and robust technique for the automatic detection of ellipses from a binary edge image. The current paper introduces some modifications to this algorithm which retain its speed, while increasing its detection performance. The two algorithms are then compared for the application of detecting wheels within images using a data-set of 100 images of cars.","PeriodicalId":246460,"journal":{"name":"2010 International Conference on Digital Image Computing: Techniques and Applications","volume":"88 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"A Fast Automatic Ellipse Detector\",\"authors\":\"T. Cooke\",\"doi\":\"10.1109/DICTA.2010.102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In 2002, Kim et al described a fast and robust technique for the automatic detection of ellipses from a binary edge image. The current paper introduces some modifications to this algorithm which retain its speed, while increasing its detection performance. The two algorithms are then compared for the application of detecting wheels within images using a data-set of 100 images of cars.\",\"PeriodicalId\":246460,\"journal\":{\"name\":\"2010 International Conference on Digital Image Computing: Techniques and Applications\",\"volume\":\"88 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Digital Image Computing: Techniques and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DICTA.2010.102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Digital Image Computing: Techniques and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DICTA.2010.102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In 2002, Kim et al described a fast and robust technique for the automatic detection of ellipses from a binary edge image. The current paper introduces some modifications to this algorithm which retain its speed, while increasing its detection performance. The two algorithms are then compared for the application of detecting wheels within images using a data-set of 100 images of cars.