In this communication we explain how a Support Vector Machine (SVM) can be applied to compute the Euler number or Genus of a 2-D binary image. By taking into account the results provided by a mathematical formulation that is known producing exact results we derive two specialized SVM-based architectures, one useful for the 4-connected case and one useful for the 8-connected case. We validate the applicability of both architectures with two sets of images and compare their performance in terms of processing times with several standard methods reported in literature.
Support Vector Machines Applied to 2-D Binary Image Euler Number Computation
01.11.2016
1379085 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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