| Texto completo | |
| Autor(es): |
Levada, Alexandre L. M.
;
Mascarenhas, Nelson D. A.
;
Tannus, Alberto
;
Rozinaj, G
;
Cepko, J
;
Truchly, P
;
Vrabec, J
;
Vojtko, J
Número total de Autores: 8
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROCEEDINGS OF IWSSIP 2008: 15TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING; v. N/A, p. 2-pg., 2008-01-01. |
| Resumo | |
This paper presents a novel pseudo-likelihood equation for the estimation of the Potts MRF model parameter on third-order neighborhood systems, allowing the modeling of less restrictive contextual systems in a large number of MRF applications in a computationally feasible way. The evaluation is done by a hypothesis testing approach using our approximation for the maximum pseudo-likelihood (MPL) estimator asymptotic variance. The test statistics together with the p-values, provide a complete framework for quantitative analysis in MRF parameter estimation on stochastic image modeling. (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 |