Average Common Submatrix: A New Image Distance Measure

  • Alessia Amelio
  • Clara Pizzuti
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8156)


A new information-theoretic distance measure for images is proposed. The measure is based on the concept of average common sub-matrix by considering the pixel matrices associated with the images. An algorithm to compute such a value is described, and its computational complexity analyzed. Experimental results show that the measure is able to discriminate images by correctly reflecting human perception. Furthermore, comparison with state-of-the-art information-theoretic measures, points out that the new measure outperforms these measures in terms of retrieval precision.


image retrieval similarity measure pattern matching 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Alessia Amelio
    • 1
  • Clara Pizzuti
    • 1
  1. 1.Institute for High Performance Computing and Networking (ICAR)National Research Council of Italy (CNR)Italy

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