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Article: A novel merging criterion incorporating boundary smoothness and region homogeneity for image segmentation

TitleA novel merging criterion incorporating boundary smoothness and region homogeneity for image segmentation
Authors
KeywordsBoundary smoothness
Merging criterion
Region homogeneity
Watershed segmentation
Issue Date2006
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2006, v. 4319 LNCS, p. 238-247 How to Cite?
AbstractA novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method. © 2006 Springer-Verlag.
Persistent Identifierhttp://hdl.handle.net/10722/73945
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252
References

 

DC FieldValueLanguage
dc.contributor.authorTan, ZGen_HK
dc.contributor.authorHe, XCen_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2010-09-06T06:56:17Z-
dc.date.available2010-09-06T06:56:17Z-
dc.date.issued2006en_HK
dc.identifier.citationLecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 2006, v. 4319 LNCS, p. 238-247en_HK
dc.identifier.issn0302-9743en_HK
dc.identifier.urihttp://hdl.handle.net/10722/73945-
dc.description.abstractA novel joint region merging criterion combining region homo-geneity and boundary smoothness is proposed. Previous watershed segmentation method which utilizes region homogeneity or edge integrity or both gives good results in some cases. However, for complex scenes such as images of a vehicle with irregular roadside objects reflected on the window panes, it tends to give undesired segmentation results with region boundaries not residing on real physical boundaries. Aiming at improving the segmentation of these complex scenes, we propose the incorporation of an additional measure of boundary smoothness into a new joint criterion. Based on this, an affine transform invariant measure of the smoothness of boundaries is developed, which is the equivalent width of the energy distribution function over frequencies, obtained from Fourier descriptors of the boundary. Experimental results and evaluation are presented in this paper to demonstrate the merits of the proposed method. © 2006 Springer-Verlag.en_HK
dc.languageengen_HK
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/en_HK
dc.relation.ispartofLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)en_HK
dc.subjectBoundary smoothnessen_HK
dc.subjectMerging criterionen_HK
dc.subjectRegion homogeneityen_HK
dc.subjectWatershed segmentationen_HK
dc.titleA novel merging criterion incorporating boundary smoothness and region homogeneity for image segmentationen_HK
dc.typeArticleen_HK
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/11949534-24en_HK
dc.identifier.scopuseid_2-s2.0-49649092754en_HK
dc.identifier.hkuros134854en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-49649092754&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume4319 LNCSen_HK
dc.identifier.spage238en_HK
dc.identifier.epage247en_HK
dc.publisher.placeGermanyen_HK
dc.identifier.scopusauthoridTan, ZG=26427814600en_HK
dc.identifier.scopusauthoridHe, XC=16834640300en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK

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