A novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filtering

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dc.authorid0000-0003-1614-2639en_US
dc.authorid0000-0003-1614-2639en_US
dc.authorid0000-0003-1814-9682en_US
dc.authorid0000-0003-1840-9958en_US
dc.contributor.authorGuo, Yanhui
dc.contributor.authorXia, Rong
dc.contributor.authorSengu, Abdulkadir
dc.contributor.authorPolat, Kemal
dc.date.accessioned2021-06-23T19:45:16Z
dc.date.available2021-06-23T19:45:16Z
dc.date.issued2017
dc.departmentBAİBÜ, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractThis paper presents a novel image segmentation algorithm based on neutrosophic c-means clustering and indeterminacy filtering method. Firstly, the image is transformed into neutrosophic set domain. Then, a new filter, indeterminacy filter is designed according to the indeterminacy value on the neutrosophic image, and the neighborhood information is utilized to remove the indeterminacy in the spatial neighborhood. Neutrosophic c-means clustering is then used to cluster the pixels into different groups, which has advantages to describe the indeterminacy in the intensity. The indeterminacy filter is employed again to remove the indeterminacy in the intensity. Finally, the segmentation results are obtained according to the refined membership in the clustering after indeterminacy filtering operation. A variety of experiments are performed to evaluate the performance of the proposed method, and a newly published method neutrosophic similarity clustering (NSC) segmentation algorithm is utilized to compare with the proposed method quantitatively. The experimental results show that the proposed algorithm has better performances in quantitatively and qualitatively.en_US
dc.identifier.doi10.1007/s00521-016-2441-2
dc.identifier.endpage3019en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue10en_US
dc.identifier.scopus2-s2.0-84976292342en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage3009en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-016-2441-2
dc.identifier.urihttps://hdl.handle.net/20.500.12491/9126
dc.identifier.volume28en_US
dc.identifier.wosWOS:000426865100014en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorPolat, Kemal
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectImage Segmentationen_US
dc.subjectNeutrosophic Seten_US
dc.subjectClusteringen_US
dc.subjectIndeterminate Filteren_US
dc.titleA novel image segmentation approach based on neutrosophic c-means clustering and indeterminacy filteringen_US
dc.typeArticleen_US

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