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1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YD6/GNyaf
Repositóriosid.inpe.br/iris@1912/2005/07.19.05.29
Última Atualização2015:08.26.12.50.06 (UTC) marciana
Repositório de Metadadossid.inpe.br/iris@1912/2005/07.19.05.29.46
Última Atualização dos Metadados2018:06.05.00.56.12 (UTC) administrator
Rótulo1140
Chave de CitaçãoDutraMasc:1980:TeEdDe
TítuloTexture edge detection by propagation and shrinking
Ano1980
Data Secundária19920226
Data de Acesso12 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho116 KiB
2. Contextualização
Autor1 Dutra, Luciano Vieira
2 Mascarenhas, Nelson Delfino D'Avila
Grupo1 DPI-INPE-BR
2 DPI-INPE-BR
Nome do EventoSymposium on Machine Processing of Remotely Sensed Data, 6.
Localização do EventoWest Lafayette, USA
Data03-06 June 1980
Título do LivroProceedings
Histórico (UTC)2008-06-09 19:39:28 :: administrator -> jefferson ::
2010-07-07 18:45:06 :: jefferson -> administrator ::
2015-05-18 12:34:55 :: administrator -> marciana :: 1980
2015-08-26 12:50:06 :: marciana -> administrator :: 1980
2016-06-04 23:29:00 :: administrator -> marciana :: 1980
2016-09-02 00:21:06 :: marciana -> administrator :: 1980
2018-06-05 00:56:12 :: administrator -> marciana :: 1980
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chavedetection
propagation
shrinking
ResumoThe problem of detecting edges between diferently texturedregions is important segmentation of remotely sensed images. However, the concept of texture is difficult to be precisely defined and there seems to be no unique way to caracterize texture. One possible approach is through the use of edge detection algorithms and is these terms texture is conceived as edgeness per unit area. Regions that posses a wide variation in tone will be characterized by a high concentration of local edges and apposite is true for smooth regions. The algorithm for texture edge detection thath is proposed in this paper is based on the detection of local edges followed by the processes of propagation and shrinking of regions and the determination of the periphery of the resulting sets. The local edges detection method is formulated in statistical terms and it leads to the solution of a hipothesys testing problem. Similar results could be obtained by using differentiation techiniques like the gradient, for example. After the local edges are detected, a propagation process, followed by a shrinking process, will tend to eliminate the holes and the isolated points in the binary image defined by the local edges. The border of the textured regions is obtained by determining the periphery of the resulting connected components sets S's through the computation of the set of points with unitary distance to S (the complement of S). This set can be obtained through a shrinking process. Variations of the methods oh propagation and shrinking were also attempted. These variations are based on thresholds on the number of neighbors (on a 8-neighboorhood)of a point, that determine whether the point remain in S, move from S to S or vice-versa. The methods were tested on Landsat images of the State of Mato Grosso, Brasil. Preliminary results seem ti indicate that the variations of the propagation and shrinking methods based on the use of thresholds tend to give edges that are more continous.
ÁreaSRE
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Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/6qtX3pFwXQZ3r59YD6/GNyaf
URL dos dados zipadoshttp://urlib.net/zip/6qtX3pFwXQZ3r59YD6/GNyaf
Idiomaen
Arquivo Alvo1980_dutra.pdf
Grupo de Usuáriosadministrator
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3EQCCU5
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosaffiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor electronicmailaddress format isbn issn lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress resumeid rightsholder schedulinginformation secondarykey secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
e-Mail (login)marciana
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