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Experiments in Segmenting Natural Textures

  • Georgy L. Gimel’farb
Part of the Computational Imaging and Vision book series (CIVI, volume 16)

Abstract

This chapter presents results of the supervised segmentation of different natural textured images and artificial collages of natural textures. The conditional Gibbs model of region maps in Eq. (2.26) suggests that to segment a piecewise-homogeneous grayscale texture we have to simply simulate the region maps relating to this texture. Such a segmentation is also based on the CSA that adapts the model potentials as to approximate the GL/RLH and GLC/RLCHs or GLD/RLCHs for a given training sample by the similar histograms for the image to be segmented and its simulated region map.

Keywords

Training Sample Digital Elevation Model Synthetic Aperture Radar Image Texture Region Test Collage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Georgy L. Gimel’farb
    • 1
  1. 1.The University of AucklandAucklandNew Zealand

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