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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP8W/3BTFE7P
Repositorysid.inpe.br/mtc-m18/2012/05.18.13.11
Last Update2012:05.18.13.11.07 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m18/2012/05.18.13.11.07
Metadata Last Update2018:06.04.03.55.40 (UTC) administrator
ISBN978-85-17-00059-1
Citation KeyHappFeitBentFari:2012:PaImSe
TitleA parallel image segmentation algorithm on GPUS
FormatOn-line.
Year2012
Access Date2024, Apr. 29
Secondary TypePRE CI
Number of Files1
Size586 KiB
2. Context
Author1 Happ, Patrick
2 Feitosa, Raul
3 Bentes, Cristiana
4 Farias, Ricardo
Author e-Mail Address1 patrick@ele.puc-rio.br
2 raul@ele.puc-rio.br
3 cris@eng.uerj.br
4 rfarias@cos.ufrj.br
EditorFeitosa, Raul Queiroz
Costa, Gilson Alexandre Ostwald Pedro da
Almeida, Cláudia Maria de
Fonseca, Leila Maria Garcia
Kux, Hermann Johann Heinrich
e-Mail Addresswanderf@dsr.inpe.br
Conference NameInternational Conference on Geographic Object-Based Image Analysis, 4 (GEOBIA).
Conference LocationRio de Janeiro
DateMay 7-9, 2012
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages580-585
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2012-05-18 13:11:07 :: wanderf@dsr.inpe.br -> administrator ::
2012-05-30 13:45:31 :: administrator -> wanderf@dsr.inpe.br :: 2012
2012-06-01 15:12:45 :: wanderf@dsr.inpe.br -> marciana :: 2012
2012-06-12 14:28:25 :: marciana -> seki@dsr.inpe.br :: 2012
2012-06-13 15:55:31 :: seki@dsr.inpe.br -> marciana :: 2012
2012-06-14 15:03:57 :: marciana -> administrator :: 2012
2018-06-04 03:55:40 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsImage Segmentation
Parallel Processing
GPU
AbstractImage segmentation is a computationally expensive task that continuously presents performance challenges due to the increasing volume of available high resolution remote sensing images. Nowadays, Graphics Processing Units (GPUs) are emerging as an attractive computing platform for general purpose computations due to their extremely high floating-point processing performance and their comparatively low cost. In the image analysis context, the use of GPUs can accelerate the segmentation process. This work presents a parallel implementation of a region growing algorithm for GPUs. The parallel algorithm is based on processing each pixel as a different thread so as to take advantage of the fine-grain parallel capability of the GPU. In addition to the parallel algorithm, the paper also suggests a modification to the heterogeneity computation that improves the segmentation performance. The experiments results demonstrate that the parallel algorithm achieve significant performance gains, running up to 6.8 times faster than the sequential approach.
AreaSRE
TypeSegmentation
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP8W/3BTFE7P
zipped data URLhttp://urlib.net/zip/8JMKD3MGP8W/3BTFE7P
Languageen
Target File162.pdf
User Groupadministrator
wanderf@dsr.inpe.br
Visibilityshown
5. Allied materials
Mirror Repositoryurlib.net/www/2011/03.29.20.55
Host Collectionsid.inpe.br/mtc-m18@80/2008/03.17.15.17
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group issn label lineage mark nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume


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