Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3EEQBAE |
Repository | sid.inpe.br/sibgrapi/2013/07.12.20.08 |
Last Update | 2013:07.12.20.08.40 pavmbr@yahoo.com.br |
Metadata | sid.inpe.br/sibgrapi/2013/07.12.20.08.40 |
Metadata Last Update | 2020:02.19.03.09.22 administrator |
Citation Key | MansillaCappMira:2013:ImSeIm |
Title | Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions  |
Format | On-line. |
Year | 2013 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 603 KiB |
Context area | |
Author | 1 Mansilla, Lucy A. C. 2 Cappabianco, Fábio A. M. 3 Miranda, Paulo A. V. |
Affiliation | 1 Department of Computer Science, University of São Paulo (USP) 2 Instituto de Ciência e Tecnologia, Universidade Federal de São Paulo 3 Department of Computer Science, University of São Paulo (USP) |
Editor | Boyer, Kim Hirata, Nina Nedel, Luciana Silva, Claudio |
e-Mail Address | pavmbr@yahoo.com.br |
Conference Name | Conference on Graphics, Patterns and Images, 26 (SIBGRAPI) |
Conference Location | Arequipa, Peru |
Date | Aug. 5-8, 2013 |
Book Title | Proceedings |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Tertiary Type | Full Paper |
History | 2013-07-12 20:08:40 :: pavmbr@yahoo.com.br -> administrator :: 2020-02-19 03:09:22 :: administrator -> :: 2013 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Keywords | graph search algorithms, image foresting transform, non-smooth connectivity functions. |
Abstract | In the framework of the Image Foresting Transform (IFT), there is a class of connectivity functions that were vaguely explored, which corresponds to the non-smooth connectivity functions (NSCF). These functions are more adaptive to cope with the problems of field inhomogeneity, which are common in MR images of 3 Tesla. In this work, we investigate the NSCF from the standpoint of theoretical and experimental aspects. We formally classify several non-smooth functions according to a proposed diagram representation. Then, we investigate some theoretical properties for some specific regions of the diagram. Our analysis reveals that many NSCFs are, in fact, the result of a sequence of optimizations, each of them involving a maximal set of elements, in a well-structured way. Our experimental results indicate that substantial improvements can be obtained by NSCFs in the 3D segmentation of MR images of 3 Tesla, when compared to smooth connectivity functions. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3EEQBAE |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3EEQBAE |
Language | en |
Target File | 114732_new.pdf |
User Group | pavmbr@yahoo.com.br |
Visibility | shown |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
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 |
| |