{"title":"Gray level thresholding using the Havrda and Charvat entropy","authors":"N. Pavesic, S. Ribaric","doi":"10.1109/MELCON.2000.880013","DOIUrl":null,"url":null,"abstract":"Investigating the Kapur et al. (1985) image thresholding method, we found, that taking the sum of the Havrda and Charvat entropies as a criterion for threshold selection instead of the Shannon entropies, can result in a better image segmentation in the sense of greater uniformity of the partitioned segments, as well as greater contrast among segments.","PeriodicalId":151424,"journal":{"name":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"27","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2000 10th Mediterranean Electrotechnical Conference. Information Technology and Electrotechnology for the Mediterranean Countries. Proceedings. MeleCon 2000 (Cat. No.00CH37099)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MELCON.2000.880013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 27
Abstract
Investigating the Kapur et al. (1985) image thresholding method, we found, that taking the sum of the Havrda and Charvat entropies as a criterion for threshold selection instead of the Shannon entropies, can result in a better image segmentation in the sense of greater uniformity of the partitioned segments, as well as greater contrast among segments.
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