{"title":"Contiguity-constrained hierarchical clustering for image segmentation","authors":"E. R. C. Morales, Yosu Yurramendi Mendizabal","doi":"10.1109/IPTA.2010.5586724","DOIUrl":null,"url":null,"abstract":"Traditional clustering methods do not take into account any relations possibly present in data. This paper introduces a contiguity-constrained algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed method in the case of medical image segmentation.","PeriodicalId":236574,"journal":{"name":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","volume":"45 13","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Conference on Image Processing Theory, Tools and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPTA.2010.5586724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Traditional clustering methods do not take into account any relations possibly present in data. This paper introduces a contiguity-constrained algorithm with an aggregation index which uses neighbouring relations present in the data. Experiments show the behaviour of the proposed method in the case of medical image segmentation.
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