1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZeBBx/w65xt |
Repository | sid.inpe.br/banon/2002/11.07.10.25 |
Last Update | 2002:11.06.02.00.00 (UTC) administrator |
Metadata Repository | sid.inpe.br/banon/2002/11.07.10.25.26 |
Metadata Last Update | 2024:03.23.15.30.53 (UTC) administrator |
DOI | 10.1109/SIBGRA.2000.883925 |
Citation Key | ZampirolliLott:2000:ClDiTr |
Title | Classification of the distance transformation algorithms under the mathematical morphology approach |
Year | 2000 |
Access Date | 2024, May 04 |
Number of Files | 1 |
Size | 432 KiB |
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2. Context | |
Author | 1 Zampirolli, Francisco de Assis 2 Lottufo, Roberto de Alencar |
Editor | Carvalho, Paulo Cezar Pinto Walter, Marcelo |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 13 (SIBGRAPI) |
Conference Location | Gramado, RS, Brazil |
Date | 17-20 Oct. 2000 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Pages | 292-299 |
Book Title | Proceedings |
Tertiary Type | Full Paper |
Organization | SBC - Brazilian Computer Society |
History (UTC) | 2008-07-17 14:10:51 :: administrator -> banon :: 2008-08-26 15:23:02 :: banon -> administrator :: 2009-08-13 20:37:01 :: administrator -> banon :: 2010-08-28 20:00:11 :: banon -> administrator :: 2024-03-23 15:30:53 :: administrator -> :: 2000 |
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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 | image processing distance transformation algorithm classification mathematical morphology binary image distance metric parallel algorithms sequential raster algorithms propagation algorithms computer architectures image processing |
Abstract | The distance transform (DT) is a morphological erosion of the binary image by a given structuring function, that dictates the distance metric in the transformation. There are many known algorithms and structuring function decompositions to efficiently implement a morphological erosion. Most of the erosion algorithms are classified as parallel, sequential raster (and anti-raster), and propagation. Based on this classification and decomposition, we review and classify most of the DT algorithms reported in the literature. As a result of this study, we have contributed not only to better classify and understand the diversity of the DT algorithms in the literature, but also to create a collection of efficient erosion algorithms suitable to different computer architectures. |
Arrangement 1 | MM > Classification of the... |
Arrangement 2 | urlib.net > SDLA > Fonds > SIBGRAPI 2000 > Classification of the... |
Arrangement 3 | urlib.net > SDLA > Fonds > Full Index > Classification of the... |
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/w65xt |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZeBBx/w65xt |
Target File | 292-299.pdf |
User Group | administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/4AUUH9L 8JMKD3MGPEW34M/46PN6AP 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/06.10.21.49 3 sid.inpe.br/sibgrapi/2022/04.27.03.08 3 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Notes | The conference was held in Gramado, RS, Brazil, from October 17 to 20. |
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