The analysis of oriented textures through phase portraits

  • A. Ravishankar Rao
Part of the Springer Series in Perception Engineering book series (SSPERCEPTION)


One of the central issues in computer vision is the problem of signal to symbol transformation [44, 102], which really has two components. The first is the choice of symbols to be derived. This is usually ignored or taken for granted. The second is the exact method used to transform the given image into this set of symbols. Researchers in computer vision have usually focussed on this part of the problem. In this chapter we analyze the symbolic description of oriented textures by first proposing an appropriate set of symbols and then solving the signal to symbol transformation problem.


Original Image Phase Portrait Segmented Image Flow Image Orientation Field 
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 New York, Inc. 1990

Authors and Affiliations

  • A. Ravishankar Rao
    • 1
  1. 1.IBM T.J. Watson Research CenterYorktown HeightsUSA

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