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Reference TypeConference Paper (Conference Proceedings)
Sitesibgrapi.sid.inpe.br
Identifier83LX3pFwXQZW44Lb/d4RfB
Repositorydpi.inpe.br/ambro/1998/05.06.14.10
Last Update1998:05.25.03.00.00 (UTC) administrator
Metadatasid.inpe.br/banon/2001/03.30.15.55.57
Metadata Last Update2013:04.19.14.15.03 (UTC) administrator
ISBN85-244-0103-6
Citation KeyCandeasBragCarv:1996:MaMoAp
TitleA mathematical morphology approach to the characterization of astronomical objects
FormatImpresso, On-line.
Year1996
Access Date2021, Nov. 28
Number of Files1
Size440 KiB
Context area
Author1 Candeas, Alcione Jandir
2 Braga Neto, Ulisses de Mendonça
3 Carvalho Filho, Edson Costa de Barros
EditorVelho, Luiz
Albuquerque, Arnaldo de
Lotufo, Roberto A.
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 9 (SIBGRAPI)
Conference LocationCaxambu
Date29 out. - 1 nov. 1996
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Pages235-242
Book TitleAnais
Tertiary TypeArtigo
OrganizationSBC - Sociedade Brasileira de Computação; UFMG - Universidade Federal de Minas Gerais
History (UTC)2008-07-17 14:17:56 :: administrator -> banon ::
2010-08-28 20:04:50 :: banon -> administrator ::
2013-04-05 16:31:24 :: administrator -> banon :: 1996
2013-04-05 16:37:27 :: banon -> administrator :: 1996
2013-04-19 14:15:03 :: administrator -> banon :: 1996
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Is the master or a copy?is the master
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AbstractWe deal in this work with a broadly studied topic in astronomical imaging, namely the star/galaxy discrimination problem. Through the use of Mathematical Morphology, we propose an original approach to the characterization of these astronomical objects, which is based on gray-level shape information. The main steps in our method are image pre-processing, segmentation and feature extraction, all of which employ Mathematical Morphology tools that were implemented using the MMach toolbox for the Khoros system. We present a comparison between our segmentation results, based on the watershed method, and those of a classical software package SExtractor. The shape information is extracted through the use of the gray-level morphological pattern spectrum, which yields very satisfactory shape features, that promise to be very suitable for future work in neural-network automatic classification.
TypeMorfologia Matemática
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data URLhttp://urlib.net/ibi/83LX3pFwXQZW44Lb/d4RfB
zipped data URLhttp://urlib.net/zip/83LX3pFwXQZW44Lb/d4RfB
Languageen
Target Filea66.pdf
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Mirror Repositorysid.inpe.br/sibgrapi@80/2007/08.02.16.22
Host Collectionsid.inpe.br/banon/2001/03.30.15.38
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