Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Automatic Image Segmentation Optimized by Bilateral Filtering
Year:2010
Research Areas
  • Electronic technology and of the communications
Information
Abstract
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.
International
Si
JCR
No
Title
Lecture notes in computer science
ISBN
0302-9743
Impact factor JCR
0
Impact info
Volume
649
10.1007/978-3-642-16687-7_42
Journal number
From page
303
To page
310
Month
NOVIEMBRE
Ranking
Participants
  • 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)
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)