Automatic Image Segmentation Optimized by Bilateral Filtering

  • Javier Sanchez
  • Estibaliz Martinez
  • Agueda Arquero
  • Diego Renza
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6419)

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 a new 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.

Keywords

Image segmentation Bilateral filter Self-calibrating framework 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Javier Sanchez
    • 1
  • Estibaliz Martinez
    • 1
  • Agueda Arquero
    • 1
  • Diego Renza
    • 1
  1. 1.DATSI, Informatics Fac. Campus de MontegancedoPolytechnic University of MadridBoadilla del MonteSpain

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