Reference TypeConference Proceedings
Citation KeyLevadaMasc:2007:EsNoPo
Author1 Levada, Alexandre Luis Magalhães
2 Mascarenhas, Nelson Delfino d'Ávila
Affiliation1 Universidade de São Paulo
2 Universidade Federal de São Carlos
TitleEstimation of non-homogeneous Potts-Strauss MRF model parameters on higher-order neighborhood systems by maximum pseudo-likelihood
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 20 (SIBGRAPI)
EditorGonçalves, Luiz
Wu, Shin Ting
Book TitleProceedings
DateOct. 7-10, 2007
Publisher CityPorto Alegre
PublisherSociedade Brasileira de Computação
Conference LocationBelo Horizonte
KeywordsMarkov Random Fields, Potts-Strauss model, maximum pseudo-likelihood.
AbstractThis paper addresses the problem of maximum pseudo-likelihood estimation of the non-homogeneous Potts-Strauss image model parameters using higher-order non-causal neighborhood systems in a computationally efficient way. The motivation is the development of a new methodology for contextual classification that uses combination of sub-optimal MRF algorithms for multispectral image classification, which requires accurate parameters estimation. The results show that the method is consistent with real image data and in the presence of random noise.
Tertiary TypeTechnical Poster
Size161 KiB
Number of Files1
Target FileLevada_Mascarenhas_SIBGRAPI2007.pdf
Last Update2007: administrator
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