1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPEW34M/49L4DLS |
Repository | sid.inpe.br/sibgrapi/2023/08.15.20.46 |
Last Update | 2023:08.15.22.21.55 (UTC) pmiranda@ime.usp.br |
Metadata Repository | sid.inpe.br/sibgrapi/2023/08.15.20.46.46 |
Metadata Last Update | 2024:02.17.04.05.17 (UTC) administrator |
DOI | 10.1109/SIBGRAPI59091.2023.10347172 |
Citation Key | KleineSantCappMira:2023:UnImSe |
Title | Unsupervised Image Segmentation by Oriented Image Foresting Transform in Layered Graphs |
Format | On-line |
Year | 2023 |
Access Date | 2024, May 14 |
Number of Files | 1 |
Size | 1160 KiB |
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2. Context | |
Author | 1 Kleine, Felipe A. S. 2 Santos, Luiz F. D. 3 Cappabianco, Fábio A. M. 4 Miranda, Paulo A. V. |
Affiliation | 1 IPT - Institute for Technological Research of the State of São Paulo, Brazil 2 University of São Paulo, Institute of Mathematics and Statistics, São Paulo, SP, Brazil 3 Instituto de Ciência e Tecnologia, São José dos Campos, SP, Brazil 4 University of São Paulo, Institute of Mathematics and Statistics, São Paulo, SP, Brazil |
Editor | Clua, Esteban Walter Gonzalez Körting, Thales Sehn Paulovich, Fernando Vieira Feris, Rogerio |
e-Mail Address | pmiranda@ime.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 36 (SIBGRAPI) |
Conference Location | Rio Grande, RS |
Date | Nov. 06-09, 2023 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2023-08-15 22:21:55 :: pmiranda@ime.usp.br -> administrator :: 2023 2024-02-17 04:05:17 :: administrator -> pmiranda@ime.usp.br :: 2023 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | unsupervised image segmentation image foresting transform nested objects |
Abstract | In this work, we address the problem of unsupervised image segmentation, subject to high-level constraints expected for the objects of interest. More specifically, we handle the segmentation of a hierarchy of objects with nested boundaries, each with its own expected boundary polarity constraint. To this end, this work successfully extends Hierarchical Layered Oriented Image Foresting Transform (HLOIFT), with the inclusion of nested object relations, to the unsupervised segmentation paradigm. On the other hand, this work can also be seen as an extension of Unsupervised OIFT (UOIFT) to include structural relationships of nested objects. The method is demonstrated in the segmentation of three datasets of colored images with superior performance compared to other existing techniques in graphs, requiring a smaller number of connected partitions to isolate the objects of interest in the images. |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPEW34M/49L4DLS |
zipped data URL | http://urlib.net/zip/8JMKD3MGPEW34M/49L4DLS |
Language | en |
Target File | Kleine-103.pdf |
User Group | pmiranda@ime.usp.br |
Visibility | shown |
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5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
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7. Description control | |
e-Mail (login) | pmiranda@ime.usp.br |
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