Observatorio de I+D+i UPM

Memorias de investigación
Book chapters:
Segmentación automática de imágenes mediante ISEG
Year:2011
Research Areas
  • Remote sensing,
  • Image segmentation,
  • Image processing
Information
Abstract
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.
International
No
Book Edition
Book Publishing
Carmen Recondo Gonzalez y Enrique Pendas Molina ed.
ISBN
00-0000-000-0
Series
Book title
Bosques y Cambio Climático
From page
529
To page
532
Participants
  • Autor: Javier Sanchez Hernandez (UPM)
  • Autor: M.Estibaliz Martinez Izquierdo (UPM)
  • Autor: Agueda Arquero Hidalgo (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)