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)


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.


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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