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dc.contributor.authorLiew, AWC
dc.contributor.authorLeung, SH
dc.contributor.authorLau, WH
dc.date.accessioned2007-06-13
dc.date.accessioned2017-03-02T01:01:43Z
dc.date.available2015-05-12T05:13:58Z
dc.date.available2017-03-02T01:01:43Z
dc.date.issued2000
dc.identifier.issn1350-245X
dc.identifier.doi10.1049/ip-vis:20000218
dc.identifier.urihttp://hdl.handle.net/10072/60815
dc.description.abstractThe authors present a spatial fuzzy clustering algorithm that exploits the spatial contextual information in image data. The objective functional of their method utilises a new dissimilarity index that takes into account the influence of the neighbouring pixels on the centre pixel in a 3×1 window. The algorithm is adaptive to the image content in the sense that influence from the neighbouring pixels is suppressed in nonhomogeneous regions in the image. A cluster merging scheme that merges two clusters based on their closeness and their degree of overlap is presented. Through this merging scheme, an `optimal' number of clusters can be determined automatically as iteration proceeds. Experimental results with synthetic and real images indicate that the proposed algorithm is more tolerant to noise, better at resolving classification ambiguity and coping with different cluster shape and size than the conventional fuzzy c-means algorithm
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherThe Institution of Electrical Engineers
dc.publisher.placeUK
dc.publisher.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=848581
dc.relation.ispartofpagefrom185
dc.relation.ispartofpageto192
dc.relation.ispartofissue2
dc.relation.ispartofjournalIEE Proceedings-Vision, Image and Signal Processing
dc.relation.ispartofvolume147
dc.subject.fieldofresearchArtificial Intelligence and Image Processing
dc.subject.fieldofresearchElectrical and Electronic Engineering
dc.subject.fieldofresearchCognitive Sciences
dc.subject.fieldofresearchcode0801
dc.subject.fieldofresearchcode0906
dc.subject.fieldofresearchcode1702
dc.titleFuzzy Image Clustering Incorporating Spatial Continuity
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codec1x
gro.facultyFaculty of Science, Environment, Engineering and Technology
gro.date.issued2015-05-12T05:13:58Z
gro.hasfulltextNo Full Text
gro.griffith.authorLiew, Alan Wee-Chung


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