Identity statement area | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Identifier | 8JMKD3MGPBW34M/3JUJR2L |
Repository | sid.inpe.br/sibgrapi/2015/08.01.00.03 |
Last Update | 2015:08.01.00.03.01 lucyacm@vision.ime.usp.br |
Metadata | sid.inpe.br/sibgrapi/2015/08.01.00.03.01 |
Metadata Last Update | 2016:06.03.21.18.38 administrator |
Citation Key | MansillaMira:2015:ImSeIm |
Title | Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions  |
Format | On-line |
Year | 2015 |
Access Date | 2021, Jan. 27 |
Number of Files | 1 |
Size | 600 KiB |
Context area | |
Author | 1 Mansilla, Lucy Alsina Choque 2 Miranda, Paulo André Vechiatto de |
Editor | Segundo, Maurício Pamplona Faria, Fabio Augusto |
e-Mail Address | lucyacm@vision.ime.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 28 (SIBGRAPI) |
Conference Location | Salvador |
Date | Aug. 26-29, 2015 |
Book Title | Proceedings |
Publisher | Sociedade Brasileira de Computação |
Publisher City | Porto Alegre |
Secondary Type | Master's Work |
Tertiary Type | Master's or Doctoral Work |
History | 2015-08-01 00:03:01 :: lucyacm@vision.ime.usp.br -> administrator :: 2016-06-03 21:18:38 :: administrator -> :: 2015 |
Content and structure area | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Keywords | cut, image foresting transform, oriented image foresting transform, non-smooth connectivity function, geodesic star convexity. |
Abstract | Image segmentation, such as to extract an object from a background, is very useful for medical and biological image analysis. In this work, we propose new methods for interactive segmentation of multidimensional images, based on the Image Foresting Transform (IFT), by exploiting for the first time non-smooth connectivity functions (NSCF) with a strong theoretical background. The new algorithms provide global optimum solutions according to an energy function of graph cut, subject to high-level boundary constraints (polarity and shape), or consist in a sequence of paths' optimization in residual graphs. Our experimental results indicate substantial improvements in accuracy in relation to other state-of-the-art methods, by allowing the customization of the segmentation to a given target object. |
source Directory Content | there are no files |
agreement Directory Content | |
Conditions of access and use area | |
data URL | http://urlib.net/rep/8JMKD3MGPBW34M/3JUJR2L |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3JUJR2L |
Language | en |
Target File | WTD_SIBGRAPI2015_Image_Segmentation_by_IFT_with_NSCF_camera-ready.pdf |
User Group | lucyacm@vision.ime.usp.br |
Visibility | shown |
Update Permission | not transferred |
Allied materials area | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPBW34M/3K24PF8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
Notes area | |
Empty Fields | accessionnumber affiliation archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination doi edition electronicmailaddress group holdercode isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder secondarydate secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark type url versiontype volume |
| |