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Título del libro: Second Latino-American Seminar On Radar Remote Sensing Image Processing Techniques
Título del capítulo: Segmentation of SAR images using quadtree and potts model

Autores UNAM:
MIGUEL MOCTEZUMA FLORES;
Autores externos:

Idioma:
Inglés
Año de publicación:
1998
Palabras clave:

image processing


Resumen:

This paper presents a contextual classifier based on quadtree structures and Markov random fields theory. The initial classification is realized by a clustering algorithm, then for each level of the tree, boundary regions are found. Pixels of boundary regions are classified by using a combination of nearest class mean criterion. Mahalanobis distance criterion and finally a Markov model. Our scheme is simple to implement and performs well, giving satisfactory results for SAR images.


Entidades citadas de la UNAM: