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Patch-Based Texture Edges and Segmentation

  • Lior Wolf
  • Xiaolei Huang
  • Ian Martin
  • Dimitris Metaxas
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3952)

Abstract

A novel technique for extracting texture edges is introduced. It is based on the combination of two ideas: the patch-based approach, and non-parametric tests of distributions.

Our method can reliably detect texture edges using only local information. Therefore, it can be computed as a preprocessing step prior to segmentation, and can be very easily combined with parametric deformable models. These models furnish our system with smooth boundaries and globally salient structures.

Keywords

Deformable Model Active Contour Model Texture Synthesis Texture Segmentation Free Form Deformation 
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 2006

Authors and Affiliations

  • Lior Wolf
    • 1
  • Xiaolei Huang
    • 2
  • Ian Martin
    • 1
  • Dimitris Metaxas
    • 2
  1. 1.Center for Biological and Computational Learning, The McGovern Institute for Brain Research and dept. of Brain & Cognitive SciencesMassachusetts Institute of TechnologyCambridgeUSA
  2. 2.Division of Computer and Information SciencesRutgers UniversityNew BrunswickUSA

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