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Perceptual smoothing and segmentation of colour textures

  • M. Petrou
  • M. Mirmehdi
  • M. Coors
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1406)

Abstract

An approach for perceptual segmentation of colour image textures is described. A multiscale representation of the texture image, generated by a multiband smoothing algorithm based on human psychophysical measurements of colour appearance is used as the input. Initial segmentation is achieved by applying a clustering algorithm to the image at the coarsest level of smoothing. Using these isolated core clusters 3D colour histograms are formed and used for probabilistic assignment of all other pixels to the core clusters to form larger clusters and categorise the rest of the image. The process of setting up colour histograms and probabilistic reassignment of the pixels is then propagated through finer levels of smoothing until a full segmentation is achieved at the highest level of resolution.

Keywords

Texture Image Markov Random Field Colour Histogram Coarse Level Core Cluster 
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-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • M. Petrou
    • 1
  • M. Mirmehdi
    • 1
  • M. Coors
    • 1
  1. 1.Centre for Vision, Speech and Signal ProcessingSurrey UniversityGuildfordEngland

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