{"title":"MR brain image segmentation by adaptive mixture distribution","authors":"Juin-Der Lee, P. Cheng, M. Liou","doi":"10.1109/ICONIP.2002.1202163","DOIUrl":null,"url":null,"abstract":"The Box-Cox transformation is applied to fit a Gaussian mixture distribution to the brain image intensity data. The advantage of using such data-adaptive mixture model is evidenced by yielding better image segmentation results compared to the existing EM procedures using standard Gaussian mixture distribution.","PeriodicalId":146553,"journal":{"name":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICONIP.2002.1202163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The Box-Cox transformation is applied to fit a Gaussian mixture distribution to the brain image intensity data. The advantage of using such data-adaptive mixture model is evidenced by yielding better image segmentation results compared to the existing EM procedures using standard Gaussian mixture distribution.
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