Approximate Testing of Visual Properties

  • Sofya Raskhodnikova
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2764)

Abstract

We initiate a study of property testing as applied to visual properties of images. Property testing is a rapidly developing area investigating algorithms that, with a small number of local checks, distinguish objects satisfying a given property from objects which need to be modified significantly to satisfy the property. We study visual properties of discretized images represented by n× n matrices of binary pixel values. We obtain algorithms with query complexity independent of n for several basic properties: being a half-plane, connectedness and convexity.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Sofya Raskhodnikova
    • 1
  1. 1.MIT Laboratory for Computer ScienceCambridgeUSA

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