A NOVEL PSEUDO-LIKELIHOOD EQUATION FOR POTTS MRF MODEL PARAMETER ESTIMATION IN IMAGE ANALYSIS

Autor(es)

Levada, Alexandre L. M. ; Mascarenhas, Nelson D. A. ; Tannus, Alberto ; IEEE

• Tipo de documento: Artigo Científico
• Fonte: 2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5; v. N/A, p. 4-pg., 2008-01-01.

Resumo

This paper presents a novel pseudo-likelihood equation for the estimation of the Potts MRF model parameter on second-order neighborhood systems, allowing the modeling of less restrictive contextual systems in a large number of MRF applications in a computationally feasible way. We propose a hypothesis testing approach to validate the obtained results. The test statistic together with the p-values, calculated through our approximation for the asymptotic variance of the derived maximum pseudo-likelihood estimator, provide a complete framework for quantitative analysis in MRF parameter estimation. (AU)

• Processo FAPESP: 06/01711-4 - Combinação de modelos de campos aleatórios markovianos para classificação contextual de imagens multiespectrais
• Beneficiário: Alexandre Luís Magalhães Levada
• Modalidade de apoio: Bolsas no Brasil - Doutorado