| Texto completo | |
| Autor(es): |
Levada, Alexandre L. M.
;
Mascarenhas, Nelson D. A.
;
Tannus, Alberto
;
IEEE Computer Soc
Número total de Autores: 4
|
| Tipo de documento: | Artigo Científico |
| Fonte: | CSE 2008:11TH IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE AND ENGINEERING, PROCEEDINGS; 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 second-order neighborhood systems. Experiments with simulated images comparing the proposed estimation method with a recent maximum-likelihood estimation approach derived in literature show the superiority of our methodology. In order to evaluate the performance of the estimation method, we proposed 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 maximum pseudo-likelihood estimators, provide a complete framework for quantitative analysis of Potts model parameter estimation in image processing, pattern recognition and computer vision applications using MRF models. (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 |