1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 8JMKD3MGPBW34M/3C9TSSH |
Repository | sid.inpe.br/sibgrapi/2012/07.15.17.58 |
Last Update | 2012:07.15.17.58.38 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi/2012/07.15.17.58.38 |
Metadata Last Update | 2022:06.14.00.07.33 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2012.13 |
Citation Key | CuadrosBoteRodrBati:2012:SeLaIm |
Title | Segmentation of Large Images with Complex Networks |
Format | DVD, On-line. |
Year | 2012 |
Access Date | 2024, May 19 |
Number of Files | 1 |
Size | 7080 KiB |
|
2. Context | |
Author | 1 Cuadros, Oscar 2 Botelho, Glenda Michele 3 Rodrigues, Francisco 4 Batista Neto, João do Espírito Santo |
Affiliation | 1 Universidade de São Paulo 2 Universidade de São Paulo 3 Universidade de São Paulo 4 Universidade de São Paulo |
Editor | Freitas, Carla Maria Dal Sasso Sarkar, Sudeep Scopigno, Roberto Silva, Luciano |
e-Mail Address | glenda@icmc.usp.br |
Conference Name | Conference on Graphics, Patterns and Images, 25 (SIBGRAPI) |
Conference Location | Ouro Preto, MG, Brazil |
Date | 22-25 Aug. 2012 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2012-09-20 16:45:34 :: glenda@icmc.usp.br -> administrator :: 2012 2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012 2022-03-10 12:52:59 :: menottid@gmail.com -> administrator :: 2012 2022-06-14 00:07:33 :: administrator -> :: 2012 |
|
3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | Image segmentation complex networks and super pixels |
Abstract | Image segmentation is still a challenging issue in pattern recognition. Among the various segmentation approaches are those based on graph partitioning, which present some drawbacks, one being high processing times. With the recent developments on complex networks theory, pattern recognition techniques based on graphs have improved considerably. The identification of cluster of vertices can be considered a process of community identification according to complex networks theory. Since data clustering is related with image segmentation, image segmentation can also be approached via complex networks. However, image segmentation based on complex networks poses a fundamental limitation which is the excessive numbers of nodes in the network. This paper presents a complex network approach for large image segmentation that is both accurate and fast. To that, we incorporate the concept of super pixels, to reduce the number of nodes in the network. We evaluate our method for both synthetic and real images. Results show that our method can outperform other graph-based methods both in accuracy and processing times. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Segmentation of Large... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Segmentation of Large... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
|
4. Conditions of access and use | |
data URL | http://urlib.net/ibi/8JMKD3MGPBW34M/3C9TSSH |
zipped data URL | http://urlib.net/zip/8JMKD3MGPBW34M/3C9TSSH |
Language | en |
Target File | Paper.pdf |
User Group | glenda@icmc.usp.br |
Visibility | shown |
|
5. Allied materials | |
Mirror Repository | sid.inpe.br/banon/2001/03.30.15.38.24 |
Next Higher Units | 8JMKD3MGPEW34M/46SL8GS 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.15.03.31 6 sid.inpe.br/sibgrapi/2022/06.10.21.49 1 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
|
6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
|