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Texprint: A New Algorithm to Discriminate Textures Structurally

  • Antoni Grau
  • Joan Climent
  • Francesc Serratosa
  • Alberto Sanfeliu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2396)

Abstract

In this work a new algorithm for texture analysis is presented. Over a region with size NxN in the image, a texture print is found by means of counting the number of changes in the sign of the derivative in the gray level intensity function by rows and by columns. These two histograms (Hx and Hy) are represented as a unique string R of symbols. In order to discriminate different texture regions a distance measure on strings based on minimum-cost sequences of edit operations is computed.

Keywords

Texture Image Edit Distance String Match Texture Region Similar Texture 
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 2002

Authors and Affiliations

  • Antoni Grau
    • 1
    • 2
  • Joan Climent
    • 1
    • 2
  • Francesc Serratosa
    • 1
    • 2
  • Alberto Sanfeliu
    • 3
  1. 1.Dept Automatic ControlTechnical University of Catalonia UPCBarcelonaSpain
  2. 2.Universitiy Rovira i Virgili TarragonaSpain
  3. 3.Institute for Robotics, UPC/CSICBarcelonaSpain

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