The MPM-MAP algorithm for image segmentation

Author

Marroquín, José L. ; Botello, Salvador ; Calderón, Félix ; Vemuri, Baba C.

Author_Institution

Centro de Investigacion en Matematicas, Guanajuato Gto., Mexico

Volume

1

fYear

2000

fDate

2000

Firstpage

303

Abstract

We present a new algorithm for the efficient estimation of piecewise parametric models for image segmentation. This algorithm permits the simultaneous estimation of: the number of models; the parameters for each model and the regions where each model is applicable. It is based on Bayesian estimation theory, and is theoretically justified by the use of a specific cost function that decreases at every iteration and by a new model for the posterior marginal distributions which is amenable to the use of fast computational methods

Keywords

Bayes methods; image segmentation; iterative methods; optimisation; parameter estimation; Bayesian estimation theory; MPM-MAP algorithm; efficient estimation; image segmentation; parameter estimation; piecewise parametric models; posterior marginal distributions; posterior marginal maximiser; Bayesian methods; Biomedical imaging; Cost function; Estimation theory; Image processing; Image segmentation; Parametric statistics; Pixel; Shape; Spatial coherence;

fLanguage

English

Publisher

ieee

Conference_Titel

Pattern Recognition, 2000. Proceedings. 15th International Conference on

Conference_Location

Barcelona

ISSN

1051-4651

Print_ISBN

0-7695-0750-6

Type

conf

DOI

10.1109/ICPR.2000.905330

Filename

905330