{"title":"一种基于形态残数的定向参数化过渡检测算法","authors":"S. Guimarães, N. J. Leite, M. Couprie, A. Araújo","doi":"10.1109/SIBGRA.2002.1167153","DOIUrl":null,"url":null,"abstract":"The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common operators work very well for sharp edges, but fail for gradual transitions. In this work, we have done a characterization for gradient by a study of the opening residues. This characterization is useful to identify and classify sharp and gradual transitions between two consecutive flat zones according to a size criterion.","PeriodicalId":286814,"journal":{"name":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"A directional and parametrized transition detection algorithm based on morphological residues\",\"authors\":\"S. Guimarães, N. J. Leite, M. Couprie, A. Araújo\",\"doi\":\"10.1109/SIBGRA.2002.1167153\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common operators work very well for sharp edges, but fail for gradual transitions. In this work, we have done a characterization for gradient by a study of the opening residues. This characterization is useful to identify and classify sharp and gradual transitions between two consecutive flat zones according to a size criterion.\",\"PeriodicalId\":286814,\"journal\":{\"name\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-10-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBGRA.2002.1167153\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. XV Brazilian Symposium on Computer Graphics and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBGRA.2002.1167153","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A directional and parametrized transition detection algorithm based on morphological residues
The boundary identification represents an interesting and difficult problem in image processing, mainly if two flat zones are separated by a gradual transition. The most common operators work very well for sharp edges, but fail for gradual transitions. In this work, we have done a characterization for gradient by a study of the opening residues. This characterization is useful to identify and classify sharp and gradual transitions between two consecutive flat zones according to a size criterion.