Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/388DD65 |
Repository | sid.inpe.br/sibgrapi/2010/09.10.23.47 |
Last Update | 2010:09.10.23.47.48 pavmbr@yahoo.com.br |
Metadata | sid.inpe.br/sibgrapi/2010/09.10.23.47.48 |
Metadata Last Update | 2010:10.01.04.19.39 pavmbr@yahoo.com.br |
Citation Key | MirandaFalcRupp:2010:HoCoAn |
Title | How to complete any segmentation process interactively via Image Foresting Transform  |
Format | Printed, On-line. |
Year | 2010 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 188 KiB |
Context area | |
Author | 1 Miranda, Paulo André Vechiatto 2 Falcão, Alexandre Xavier 3 Ruppert, Guilherme Cesar Soares |
Affiliation | 1 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 |
Editor | Bellon, Olga Esperança, Claudio |
e-Mail Address | pavmbr@yahoo.com.br |
Conference Name | Conference on Graphics, Patterns and Images, 23 (SIBGRAPI) |
Conference Location | Gramado |
Date | Aug. 30 - Sep. 3, 2010 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2010-10-01 04:19:39 :: pavmbr@yahoo.com.br -> :: 2010 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | image foresting transform, robustness in image segmentation, graph search algorithms. |
Abstract | The 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. |
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agreement Directory Content | there are no files |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/388DD65 |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/388DD65 |
Language | en |
Target File | 70671.pdf |
User Group | pavmbr@yahoo.com.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | dpi.inpe.br/banon-pc2@80/2006/08.30.19.27 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber 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 |
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