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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3A3C4US
Repositorysid.inpe.br/sibgrapi/2011/07.09.02.10
Metadatasid.inpe.br/sibgrapi/2011/07.09.02.10.45
Sitesibgrapi.sid.inpe.br
Citation KeyCasacaPaivNona:2011:SpSeUs
Author1 Casaca, Wallace
2 Paiva, Afonso
3 Nonato, Luis Gustavo
Affiliation1 Instituto de Ciências Matemáticas e de Computação – USP
2 Instituto de Ciências Matemáticas e de Computação – USP
3 Instituto de Ciências Matemáticas e de Computação – USP
TitleSpectral Segmentation using Cartoon-Texture Decomposition and Inner Product-based metric
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
Year2011
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society Conference Publishing Services
Conference LocationMaceió
KeywordsSpectral cut, image segmentation, similarity graph, cartoon-texture decomposition, harmonic analysis, normalized cuts.
AbstractThis paper presents a user-assisted image partition technique that combines cartoon-texture decomposition, inner product-based similarity metric, and spectral cut into a unified framework. The cartoon-texture decomposition is used to first split the image into textured and texture-free components, the latter being used to define a gradient-based inner-product function. An affinity graph is then derived and weights are assigned to its edges according to the inner product-based metric. Spectral cut is computed on the affinity graph so as to partition the image. The computational burden of the spectral cut is mitigated by a fine-to-coarse image representation process, which enables moderate size graphs that can be handled more efficiently. The partitioning can be steered by interactively by changing the weights of the graph through user strokes. Weights are updated by combining the texture component computed in the first stage of our pipeline and a recent harmonic analysis technique that captures waving patterns. Finally, a coarse-to-fine interpolation is applied in order to project the partition back onto the original image. The suitable performance of the proposed methodology is attested by comparisons against state-of-art spectral segmentation methods.
Languageen
Tertiary TypeFull Paper
FormatDVD, On-line.
Size4403 KiB
Number of Files1
Target FileSibgrapi_paper.pdf
Last Update2011:07.09.02.10.45 sid.inpe.br/banon/2001/03.30.15.38 wallace.coc@gmail.com
Metadata Last Update2011:07.23.15.36.12 sid.inpe.br/banon/2001/03.30.15.38 wallace.coc@gmail.com {D 2011}
Document Stagecompleted
Is the master or a copy?is the master
Mirrorsid.inpe.br/banon/2001/03.30.15.38.24
e-Mail Addresswallace.coc@gmail.com
User Groupwallace.coc@gmail.com
Visibilityshown
Transferable1
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
Content TypeExternal Contribution
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History2011-07-23 15:36:12 :: wallace.coc@gmail.com -> :: 2011
Empty Fieldsaccessionnumber archivingpolicy archivist area callnumber copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume
Access Date2019, Dec. 09

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