{"title":"圆的高效霍夫变换新方法","authors":"R. Chan, W. Siu","doi":"10.1109/PACRIM.1989.48315","DOIUrl":null,"url":null,"abstract":"A parameter representation scheme is proposed for fast and efficient Hough transform of circles. This approach replaces the conventional three-dimensional accumulator array by a pair of two-dimensional planes. Inverse mapping from the estimated circle parameter sets to a subspace of the original image is used to verify the candidate circles, giving a recognition rate of 95-100%.<<ETX>>","PeriodicalId":256287,"journal":{"name":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"23","resultStr":"{\"title\":\"A new approach for efficient Hough transform for circles\",\"authors\":\"R. Chan, W. Siu\",\"doi\":\"10.1109/PACRIM.1989.48315\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A parameter representation scheme is proposed for fast and efficient Hough transform of circles. This approach replaces the conventional three-dimensional accumulator array by a pair of two-dimensional planes. Inverse mapping from the estimated circle parameter sets to a subspace of the original image is used to verify the candidate circles, giving a recognition rate of 95-100%.<<ETX>>\",\"PeriodicalId\":256287,\"journal\":{\"name\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"23\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PACRIM.1989.48315\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Proceeding IEEE Pacific Rim Conference on Communications, Computers and Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PACRIM.1989.48315","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A new approach for efficient Hough transform for circles
A parameter representation scheme is proposed for fast and efficient Hough transform of circles. This approach replaces the conventional three-dimensional accumulator array by a pair of two-dimensional planes. Inverse mapping from the estimated circle parameter sets to a subspace of the original image is used to verify the candidate circles, giving a recognition rate of 95-100%.<>