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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/388DD65
Repositorysid.inpe.br/sibgrapi/2010/09.10.23.47
Metadatasid.inpe.br/sibgrapi/2010/09.10.23.47.48
Sitesibgrapi.sid.inpe.br
Citation KeyMirandaFalcRupp:2010:HoCoAn
Author1 Miranda, Paulo André Vechiatto
2 Falcão, Alexandre Xavier
3 Ruppert, Guilherme Cesar Soares
Affiliation1 Institute of Computing - Unicamp -- CP 6176, 13084-971, Campinas, SP, Brazil
2 Institute of Computing - Unicamp -- CP 6176, 13084-971, Campinas, SP, Brazil
3 Institute of Computing - Unicamp -- CP 6176, 13084-971, Campinas, SP, Brazil
TitleHow to complete any segmentation process interactively via Image Foresting Transform
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
Keywordsimage foresting transform, robustness in image segmentation, graph search algorithms.
AbstractThe segmentation of poorly defined structures in medical imaging and heterogeneous objects in natural images usually call for considerable user assistance. Consequently, automatic results are often far from desirable and interactive repairs become an essential feature to consider. However, how to import automatic results obtained from external processes and complete their segmentation interactively is an issue, since different tools are based on different optimization criteria. Another simpler related problem concerns how to continue a previous segmentation obtained by the same interactive tool. This ability to stop and later resume interactive segmentation sessions is specially important for tridimensional images and video. However, very often crucial data (e.g., the history of user input) are no longer available; or are no longer reliable, as consequence of some post-processing. How to offer a comprehensive recovery and resume capability, comprising all these different scenarios, under the framework of the "Image Foresting Transform" (IFT) is the central focus of this paper.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size188 KiB
Number of Files1
Target File70671.pdf
Last Update2010:09.10.23.47.48 sid.inpe.br/banon/2001/03.30.15.38 pavmbr@yahoo.com.br
Metadata Last Update2010:10.01.04.19.39 sid.inpe.br/banon/2001/03.30.15.38 pavmbr@yahoo.com.br {D 2010}
Document Stagecompleted
Is the master or a copy?is the master
Mirrordpi.inpe.br/banon-pc2@80/2006/08.30.19.27
e-Mail Addresspavmbr@yahoo.com.br
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History2010-10-01 04:19:39 :: pavmbr@yahoo.com.br -> :: 2010
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Access Date2020, Nov. 26

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