Observatorio de I+D+i UPM

Descripción
The object-based image analysis 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. In this study, we present the evaluation of a new unsupervised image segmentation methodology based on a self-calibrating region growing approach. This is implemented in ISEG (Image Segmentation), our image segmentation software with its self-calibration framework for getting initial parameters. In the evaluation, the obtained good results show the optimization of the segmentation quality jointly with the computational efficiency.
Internacional	No
DOI
Edición del Libro
Editorial del Libro	Carmen Recondo Gonzalez y Enrique Pendas Molina ed.
ISBN	00-0000-000-0
Serie
Título del Libro	Bosques y Cambio Climático
Desde página	529
Hasta página	532

Esta actividad pertenece a memorias de investigación

• Autor: Javier Sanchez Hernandez (UPM)
• Autor: M.Estibaliz Martinez Izquierdo (UPM)
• Autor: Agueda Arquero Hidalgo (UPM)

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