Color pair clustering for texture detection

  • Authors:
  • Lech Szumilas;Allan Hanbury

  • Affiliations:
  • Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Vienna, Austria;Pattern Recognition and Image Processing Group, Institute of Computer Aided Automation, Vienna University of Technology, Vienna, Austria

  • Venue:
  • ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
  • Year:
  • 2006

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Abstract

A novel approach to the extraction of image regions of uniform color and its application to automatic texture detection is discussed. The method searches for alternating color patterns, through hierarchical clustering of color pairs from adjacent image regions. The final result is a hierarchy of texture regions, described by their boundaries and a set of features, detected at multiple accuracy levels. The results are presented on some images of natural scenes from the Berkeley segmentation dataset and benchmark.