1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/D3GLj |
Repository | sid.inpe.br/banon/2004/08.03.17.14 |
Last Update | 2004:08.03.03.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2004/08.03.17.14.36 |
Metadata Last Update | 2022:06.14.00.12.38 (UTC) administrator |
DOI | 10.1109/SIBGRA.2004.1352951 |
Citation Key | JungSchr:2004:ReDeBa |
Title | Rectangle Detection based on a Windowed Hough Transform |
Format | On-line |
Year | 2004 |
Access Date | 2024, May 09 |
Number of Files | 1 |
Size | 185 KiB |
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2. Context | |
Author | 1 Jung, Cláudio Rosito 2 Schramm, Rodrigo |
Affiliation | 1 UNISINOS - Universidade do Vale do Rio dos Sinos - Ciências Exatas e Tecnológicas |
Editor | Araújo, Arnaldo de Albuquerque Comba, João Luiz Dihl Navazo, Isabel Sousa, Antônio Augusto de |
e-Mail Address | crjung@exatas.unisinos.br |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 17 (SIBGRAPI) - Ibero-American Symposium on Computer Graphics, 2 (SIACG) |
Conference Location | Curitiba, PR, Brazil |
Date | 17-20 Oct. 2004 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
Keywords | rectangle detection windowed Hough Transform |
Abstract | The 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 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2004 > Rectangle Detection based... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Rectangle Detection based... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZeBBx/D3GLj |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/D3GLj |
Language | en |
Target File | 1.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46QM2BE 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.03.00.29 8 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy 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 |
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