{"title":"The Hough transform (HuT) on geometrical distributions (geodistributions)","authors":"N. Myridis","doi":"10.1109/ISSPIT.2005.1577215","DOIUrl":null,"url":null,"abstract":"In this lecture we investigate the Hough transform (HuT) on geometrical (non-probabilistic) distributions, i.e. on loci of point set distributions in the spatial space. Such distributions are assumed to be linear, circular, spiral etc. The usefulness of the assumption of such distributions is multiple according to the existence of them in a huge variety of image processing problems. Furthermore we present innovative elements of HuT which may lead to the development of means for evaluating HuT of complicated geometrical figures","PeriodicalId":421826,"journal":{"name":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","volume":"2650 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Fifth IEEE International Symposium on Signal Processing and Information Technology, 2005.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPIT.2005.1577215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this lecture we investigate the Hough transform (HuT) on geometrical (non-probabilistic) distributions, i.e. on loci of point set distributions in the spatial space. Such distributions are assumed to be linear, circular, spiral etc. The usefulness of the assumption of such distributions is multiple according to the existence of them in a huge variety of image processing problems. Furthermore we present innovative elements of HuT which may lead to the development of means for evaluating HuT of complicated geometrical figures