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dc.contributor.authorJayasuriya, Surani Anuradha
dc.contributor.authorLiew, Alan Wee-Chung
dc.contributor.editorCyril de Runz
dc.date.accessioned2017-06-19T01:31:05Z
dc.date.available2017-06-19T01:31:05Z
dc.date.issued2013
dc.date.modified2014-06-11T01:15:46Z
dc.identifier.isbn9781479900220
dc.identifier.issn1098-7584
dc.identifier.doi10.1109/FUZZ-IEEE.2013.6622511
dc.identifier.urihttp://hdl.handle.net/10072/60013
dc.description.abstractThis paper presents a new modified fuzzy c-means (FCM) clustering algorithm that exploits bilateral symmetry information in image data. With the assumption of pixels that are located symmetrically tend to have similar intensity values; we compute the degree of symmetry for each pixel with respect to a global symmetry axis of the image. This information is integrated into the objective function of the standard FCM algorithm. Experimental results show the effectiveness of the approach. The method was further improved using neighbourhood information, and was compared with conventional fuzzy c-means algorithms.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent995790 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.publisherNo data provided
dc.publisher.urihttps://ieeexplore.ieee.org/document/6622511
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencenameIEEE International Conference on Fuzzy Systems (FUZZ)
dc.relation.ispartofconferencetitle2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013)
dc.relation.ispartofdatefrom2013-07-07
dc.relation.ispartofdateto2013-07-10
dc.relation.ispartoflocationHyderabad, INDIA
dc.relation.ispartofpagefrom7 pages
dc.relation.ispartofpageto7 pages
dc.rights.retentionY
dc.subject.fieldofresearchArtificial intelligence not elsewhere classified
dc.subject.fieldofresearchcode460299
dc.titleSymmetry incorporated Fuzzy C-means Method for Image Segmentation
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.rights.copyright© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
gro.hasfulltextFull Text
gro.griffith.authorLiew, Alan Wee-Chung


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    Contains papers delivered by Griffith authors at national and international conferences.

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