Close

1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Holder Codeibi 8JMKD3MGPEW34M/46T9EHH
Identifier6qtX3pFwXQZeBBx/D3GLj
Repositorysid.inpe.br/banon/2004/08.03.17.14
Last Update2004:08.03.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/banon/2004/08.03.17.14.36
Metadata Last Update2022:06.14.00.12.38 (UTC) administrator
DOI10.1109/SIBGRA.2004.1352951
Citation KeyJungSchr:2004:ReDeBa
TitleRectangle Detection based on a Windowed Hough Transform
FormatOn-line
Year2004
Access Date2024, Apr. 27
Number of Files1
Size185 KiB
2. Context
Author1 Jung, Cláudio Rosito
2 Schramm, Rodrigo
Affiliation1 UNISINOS - Universidade do Vale do Rio dos Sinos - Ciências Exatas e Tecnológicas
EditorAraújo, Arnaldo de Albuquerque
Comba, João Luiz Dihl
Navazo, Isabel
Sousa, Antônio Augusto de
e-Mail Addresscrjung@exatas.unisinos.br
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG)
Conference LocationCuritiba, PR, Brazil
Date17-20 Oct. 2004
PublisherIEEE Computer Society
Publisher CityLos Alamitos
Book TitleProceedings
Tertiary TypeFull Paper
History (UTC)2008-08-26 15:15:42 :: banon -> administrator ::
2009-08-13 20:37:28 :: administrator -> banon ::
2010-08-28 20:01:14 :: banon -> administrator ::
2022-06-14 00:12:38 :: administrator -> :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Version Typefinaldraft
Keywordsrectangle detection
windowed Hough Transform
AbstractThe problem of detecting rectangular structures in images arises in many applications, from building extraction in aerial images to particle detection in cryo-electron microscopy. This paper proposes a new technique for rectangle detection using a windowed Hough Transform. Every pixel of the image is scanned, and a sliding window is used to compute the Hough Transform of small regions of the image. Peaks of the Hough image (which correspond to line segments) are then extracted, and a rectangle is detected when four extracted peaks satisfy certain geometric conditions. Experimental results indicate that the proposed technique produced promising results for both synthetic and natural images.
Arrangement 1urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Rectangle Detection based...
Arrangement 2urlib.net > SDLA > Fonds > Full Index > Rectangle Detection based...
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/6qtX3pFwXQZeBBx/D3GLj
zipped data URLhttp://urlib.net/zip/6qtX3pFwXQZeBBx/D3GLj
Languageen
Target File1.pdf
User Groupadministrator
Visibilityshown
5. Allied materials
Next Higher Units8JMKD3MGPEW34M/46QM2BE
8JMKD3MGPEW34M/4742MCS
Citing Item Listsid.inpe.br/sibgrapi/2022/05.03.00.29 8
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 mirrorrepository 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


Close