Título
Reference Fields Analysis of a Markov Random Field Model to Improve Image Segmentation
Autor
ERIKA DANAE LOPEZ ESPINOZA
LEOPOLDO ALTAMIRANO ROBLES
Nivel de Acceso
Acceso Abierto
Referencia de publicación
URL/http://www.jart.ccadet.unam.mx/jart/vol8_2/reference_fields_9.pdf
Materias
CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA - (CTI) Image segmentation - ([Journal of applied research and technology, ISSN: 1665-6423]) - ([Journal of applied research and technology, ISSN: 1665-6423]) unsupervised segmentation - ([Journal of applied research and technology, ISSN: 1665-6423]) - ([Journal of applied research and technology, ISSN: 1665-6423]) Markov random field - ([Journal of applied research and technology, ISSN: 1665-6423]) - ([Journal of applied research and technology, ISSN: 1665-6423]) non-homogeneous random field - ([Journal of applied research and technology, ISSN: 1665-6423]) - ([Journal of applied research and technology, ISSN: 1665-6423])
Resumen o descripción
Markov random field (MRF) models, parameters such as internal and external reference fields are used. In this paper, the influence of these parameters in the segmentation quality is analyzed, and it is shown that, for image segmentation, a MRF model with a priori energy function defined by means of non-homogeneous internal and external field has better segmentation quality than a MRF model defined only by a homogeneous internal reference field. An analysis of the MRF models in terms of segmentation quality, computational time and tests of statistical significance is done. Significance tests showed that the segmentations obtained with MRF model defined by means of non-homogeneous reference fields are significant at levels of 85% and 75%.
Editor
Universidad Nacional Autónoma de México
Fecha de publicación
agosto de 2010
Tipo de publicación
Artículo
Versión de la publicación
Versión publicada
Recurso de información
Formato
application/pdf
Fuente
Journal of applied research and technology
ISSN: 1665-6423
Idioma
Inglés
Audiencia
Investigadores
Estudiantes
Repositorio Orígen
Repositorio Institucional del Centro de Ciencias de la Atmósfera de la UNAM
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