Local 2D Pattern Spectra as Connected Region Descriptors

Petra Bosilj 1 , Michael H. F. Wilkinson 2 , Ewa Kijak 3 ,  and Sébastien Lefèvre 1
  • 1 Université de Bretagne-Sud – IRISA, Vannes, France
  • 2 Johann Bernoulli Institute, University of Groningen, Groningen, The Netherlands
  • 3 Université de Rennes 1 – IRISA, Rennes, France

Abstract

We validate the usage of augmented 2D shape-size pattern spectra, calculated on arbitrary connected regions. The evaluation is performed on MSER regions and competitive performance with SIFT descriptors achieved in a simple retrieval system, by combining the local pattern spectra with normalized central moments. An additional advantage of the proposed descriptors is their size: being half the size of SIFT, they can handle larger databases in a time-efficient manner. We focus in this paper on presenting the challenges faced when transitioning from global pattern spectra to the local ones. An exhaustive study on the parameters and the properties of the newly constructed descriptor is offered, as well as performance results from preliminary experiments, validating the usage of the descriptor. We also consider possible improvements to the quality and computation efficiency of the proposed local descriptors.

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Mathematical Morphology – Theory and Applications (MMTA) is an open access, peer-reviewed, electronic journal publishing either purely theoretical advances, or new ways of applying mathematical morphology to real-world problems. MMTA serves also as a forum open to other related mathematical image processing approaches as discrete geometry, topological imaging and scale-space models.

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