Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
A Combined Active Contours Method for Segmentation using Localization and Multiresolution
Year:2013
Research Areas
  • Processing and signal analysis
Information
Abstract
Image segmentation is a fundamental step in many image processing applications. To achieve high-quality segmentations active contours are commonly used. However, state of art strategies are not able to provide successful results in all the conditions. Additionally, the strategies that get the best overall results are computationally expensive and need to manually set some parameters, which decreases their usability. Here, we propose a novel active contours-based segmentation method that, through the combination of boundary-based and region-based energies and a multiresolution analysis, provides very high-quality results while significantly increasing both the computational efficiency and the usability of previous approaches.
International
Si
Congress
IEEE International Conference on Image Processing (ICIP)
960
Place
Melbourne, Australia
Reviewers
Si
ISBN/ISSN
978-1-4799-2341-0
10.1109/ICIP.2013.6738259
Start Date
15/09/2013
End Date
18/09/2013
From page
1257
To page
1261
A Combined Active Contours Method for Segmentation using Localization and Multiresolution
Participants
  • Autor: Eva María Yáñez Gutiérrez (UPM)
  • Autor: Carlos Cuevas Rodriguez (UPM)
  • Autor: Narciso Garcia Santos (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Tratamiento de Imágenes (GTI)
  • Departamento: Señales, Sistemas y Radiocomunicaciones
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