Observatorio de I+D+i UPM

Descripción
The object-based methodology is one of the most commonly used strategies for processing high spatial resolution images. A prerequisite to object-based image analysis is image segmentation, which is normally defined as the subdivision of an image into separated regions. This study proposes an image segmentation methodology based on a self-calibrating multi-band region growing approach. Two multispectral aerial images were used in this study. The unsupervised image segmentation approach begins with a first step based on a bidirectional filtering, in order to eliminate noise, smooth the initial image and preserve edges. The results are compared with ones obtained from Definiens Developper software.
Internacional	Si
JCR del ISI	No
Título de la revista	Lecture notes in computer science
ISSN	0302-9743
Factor de impacto JCR	0
Información de impacto
Volumen	649
DOI	10.1007/978-3-642-16687-7_42
Número de revista
Desde la página	303
Hasta la página	310
Mes	NOVIEMBRE
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• Autor: M.Estibaliz Martinez Izquierdo (UPM)
• Autor: Javier Sanchez Hernandez (Universidad Politecnica de Madrid)
• Autor: Agueda Arquero Hidalgo (UPM)
• Autor: Diego Renza Torres (Universidad Nacional de Colombia)

• Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen