{"title":"Morphological gradient in brain magnetic resonance imaging based on intuitionistic fuzzy approach","authors":"Mohammed Y. Kamil","doi":"10.1109/AIC-MITCSA.2016.7759924","DOIUrl":null,"url":null,"abstract":"The morphological operations commonly used image gradient for gray level images in medical images. Medical images are usually poorly illuminated and several edges are not visible accurately. This paper have used the morphological gradient (erosion-dilation computation) of the fuzzy mathematical morphology based on Hamacher t-norm and t-conorm, and comparison with classical morphological gradient. The results of evaluation shown clearly of the effectiveness of the fuzzy morphological approach in brain magnetic resonance imaging compared to classical morphological based on statistical image quality.","PeriodicalId":315179,"journal":{"name":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 Al-Sadeq International Conference on Multidisciplinary in IT and Communication Science and Applications (AIC-MITCSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AIC-MITCSA.2016.7759924","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10
Abstract
The morphological operations commonly used image gradient for gray level images in medical images. Medical images are usually poorly illuminated and several edges are not visible accurately. This paper have used the morphological gradient (erosion-dilation computation) of the fuzzy mathematical morphology based on Hamacher t-norm and t-conorm, and comparison with classical morphological gradient. The results of evaluation shown clearly of the effectiveness of the fuzzy morphological approach in brain magnetic resonance imaging compared to classical morphological based on statistical image quality.
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