{"title":"Region growing segmentation of MRI — A metric topological approach","authors":"B. Gowri, G. Ilango","doi":"10.1109/NCCCIS.2015.7295907","DOIUrl":null,"url":null,"abstract":"Region growing technique has gained a significant importance in medical image segmentation for finer segmentation of tumor. Here, a novel region growing segmentation algorithm is proposed based on metric topological neighbourhoods. The quality of segmentation is measured using the new objective measure entropy along with the traditional validity measures accuracy, PSNR and MSE.","PeriodicalId":201980,"journal":{"name":"2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS)","volume":"415 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCCCIS.2015.7295907","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
Region growing technique has gained a significant importance in medical image segmentation for finer segmentation of tumor. Here, a novel region growing segmentation algorithm is proposed based on metric topological neighbourhoods. The quality of segmentation is measured using the new objective measure entropy along with the traditional validity measures accuracy, PSNR and MSE.