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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier8JMKD3MGPBW34M/3C9ULF5
Repositorysid.inpe.br/sibgrapi/2012/07.15.22.08
Last Update2012:07.15.22.08.42 (UTC) administrator
Metadata Repositorysid.inpe.br/sibgrapi/2012/07.15.22.08.42
Metadata Last Update2022:06.14.00.07.35 (UTC) administrator
DOI10.1109/SIBGRAPI.2012.12
Citation KeySalvadeoMascLeva:2012:CoFiCT
TitleContextual filtering of CT images using Markovian Wiener filters with a Non Local Means approach for statistical estimation
FormatDVD, On-line.
Year2012
Access Date2025, Mar. 21
Number of Files1
Size676 KiB
2. Context
Author1 Salvadeo, Denis Henrique Pinheiro
2 Mascarenhas, Nelson Delfino d'Ávila
3 Levada, Alexandre Luís Magalhães
Affiliation1 Federal University of São Carlos (UFSCar)
2 Federal University of São Carlos (UFSCar)
3 Federal University of São Carlos (UFSCar)
EditorFreitas, Carla Maria Dal Sasso
Sarkar, Sudeep
Scopigno, Roberto
Silva, Luciano
e-Mail Addressdenissalvadeo@dc.ufscar.br
Conference NameConference on Graphics, Patterns and Images, 25 (SIBGRAPI)
Conference LocationOuro Preto, MG, Brazil
Date22-25 Aug. 2012
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2012-09-20 16:45:34 :: denissalvadeo@dc.ufscar.br -> administrator :: 2012
2022-03-08 21:03:24 :: administrator -> menottid@gmail.com :: 2012
2022-03-10 13:04:00 :: menottid@gmail.com -> administrator :: 2012
2022-06-14 00:07:35 :: administrator -> :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
KeywordsWiener filter
Fisher Information
Markov Random Fields
Non Local Means approach
image denoising
Computed Tomography
AbstractRecently, investigations on medical imaging have been indicating a strong correlation between cases of cancers and the increasing number of Computed Tomography (CT) exams, mainly due to high radiation doses to which patients are exposed during the data acquisition process. Thus, there is a need to reduce the radiation doses whereas still keeping satisfactory quality images for diagnosis. In this paper, we propose to filter noise in CT images using contextual versions of Wiener Filter such as Generalized Wiener Filter (GWF) and Non Local Means approach for parameter estimation. Experiments show that the proposed methods are promising, since they provide good results with no significant increase in the computational cost.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2012 > Contextual filtering of...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Contextual filtering of...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Content
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGPBW34M/3C9ULF5
zipped data URLhttp://urlib.net/zip/8JMKD3MGPBW34M/3C9ULF5
Languageen
Target File101966.pdf
User Groupdenissalvadeo@dc.ufscar.br
Visibilityshown
5. Allied materials
Mirror Repositorysid.inpe.br/banon/2001/03.30.15.38.24
Next Higher Units8JMKD3MGPEW34M/46SL8GS
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.15.03.31 31
sid.inpe.br/sibgrapi/2022/06.10.21.49 2
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
6. Notes
Empty Fieldsarchivingpolicy 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


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