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Texture segmentation by minimizing vector-valued energy functionals: The Coupled-Membrane model

  • Tai Sing Lee
  • David Mumford
  • Alan Yuille
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 588)

Abstract

This paper presents a computational model that segments images based on the textural properties of object surfaces. The proposed Coupled-Membrane model applies the weak membrane approach to an image WI(σ,θ, x, y), derived from the power responses of a family of selfsimilar quadrature Gabor wavelets. While segmentation breaks are allowed in x and y only, coupling is introduced to in all 4 dimensions. The resulting spatial and spectral diffusion prevents minor variations in local textures from producing segmentation boundaries. Experiments showed that the model is adequate in segmenting a class of synthetic and natural texture images.

Keywords

Gabor Filter Boundary Detection Gabor Wavelet Texture Segmentation Spectral Diffusion 
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 1992

Authors and Affiliations

  • Tai Sing Lee
    • 1
  • David Mumford
    • 1
  • Alan Yuille
    • 1
  1. 1.Harvard Robotics Laboratory, Division of Applied SciencesHarvard UniversityCambridge

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