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An interval type 2 fuzzy approach to multilevel image segmentation

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dc.contributor.authorNeog, Debanga Raj-
dc.contributor.authorRaza, Muhammad Amjad-
dc.contributor.authorRhee, Frank chung hoon-
dc.date.accessioned2021-06-23T12:03:28Z-
dc.date.available2021-06-23T12:03:28Z-
dc.date.created2021-01-22-
dc.date.issued2011-06-
dc.identifier.issn1098-7584-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39081-
dc.description.abstractIn this paper, an interval type 2 (IT2) fuzzy entropy based approach is used to compute optimum thresholds for multistage gray scale image segmentation. By finding the maximum IT2 fuzzy entropy of the gray scale image, the optimum thresholds are computed. A termination criterion for multistage segmentation is also proposed based on the range of computed entropy values of the images. Several experimental results are shown to demonstrate the performance of our proposed algorithm which outperforms type 1 (T1) fuzzy based methods. © 2011 IEEE.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-
dc.titleAn interval type 2 fuzzy approach to multilevel image segmentation-
dc.typeArticle-
dc.contributor.affiliatedAuthorRhee, Frank chung hoon-
dc.identifier.doi10.1109/FUZZY.2011.6007728-
dc.identifier.scopusid2-s2.0-80053057956-
dc.identifier.wosid000295224300175-
dc.identifier.bibliographicCitationIEEE International Conference on Fuzzy Systems, pp.1164 - 1170-
dc.relation.isPartOfIEEE International Conference on Fuzzy Systems-
dc.citation.titleIEEE International Conference on Fuzzy Systems-
dc.citation.startPage1164-
dc.citation.endPage1170-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryComputer Science, Artificial Intelligence-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordPlusENTROPY-
dc.subject.keywordPlusSETS-
dc.subject.keywordAuthorFootprint of uncertainty (FOU)-
dc.subject.keywordAuthorFuzzy membership function-
dc.subject.keywordAuthorInterval type 2 (IT2) fuzzy sets-
dc.subject.keywordAuthorUltrafuzziness-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/6007728-
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ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
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