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Reference TypeConference Paper (Conference Proceedings)
Last Update2012: administrator
Metadata Last Update2013: administrator
Citation KeyAlvesMasc:1993:PrDiRe
TitleProbabilistic and dictionary-based relaxation techniques applied to a statistical method of edge detection
FormatImpresso, On-line.
Access Date2021, Mar. 01
Number of Files1
Size4962 KiB
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Author1 Alves, André Hiroshi Hayashi
2 Mascarenhas, Nelson Delfino d’Ávila
Affiliation1 Divisão de Processamento de Imagens (DPI) do Instituto Nacional de Pesquisas Espaciais (INPE)
2 Divisão de Processamento de Imagens (DPI) do Instituto Nacional de Pesquisas Espaciais (INPE)
EditorFigueiredo, Luiz Henrique de
Gomes, Jonas de Miranda
Conference NameSimpósio Brasileiro de Computação Gráfica e Processamento de Imagens, 6 (SIBGRAPI)
Conference LocationRecife
Date19 - 22 out. 1993
Book TitleAnais
PublisherSociedade Brasileira de Computação
Publisher CityPorto Alegre
Tertiary TypeArtigo
History2012-12-11 15:01:19 :: -> administrator :: 1993
2013-01-03 01:24:50 :: administrator -> :: 1993
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Is the master or a copy?is the master
Content Stagecompleted
Keywordsrelaxation techniques probabilistic, statistical method of edge detection, Image Processing.
AbstractTwo relaxation schemes, a probabilistic and a dictionary-based one, applied to edge detection, are described. The problem of edge detection is defined using a statistical approach. The solution, in terms of statistical decision theory, leads to a test among hypotheses of configurations of sets of four pixels (quadruplets). The relaxation schemes are also developed using the quadriplets as labelling objects. The initial probabilities for the label set of each object are synthesized from the values obtained in the statistical tests. The interaction neighborhood adopted for the two methods is the 4-neighborhood. The iterative label probability updating is performed using a classical heuristic procedure in the two schemes. Tests using noisy synthetic and real images are presented. An experimental analysis of convergence to a consistent and non-ambiguous labelling and speed of convergence is performed for the two schemes and results are compared. A change in the dictionary according to a modification in the definition of consistency is proposed and the resulting scheme is tested and compared with the two other ones.
TypeProcessamento de Imagens I
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