Autores
Sossa Azuela Juan Humberto
Carreón Torres Angel Antonio
Título Support Vector Machines Applied to 2-D Binary Image Euler Number Computation
Tipo Congreso
Sub-tipo Memoria
Descripción 2016 International Conference on Mechatronics, Electronics and Automotive Engineering, ICMEAE 2016
Resumen 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.
Observaciones DOI 10.1109/ICMEAE.2016.010
Lugar Cuernavaca, Morelos
País Mexico
No. de páginas 3-8
Vol. / Cap.
Inicio 2016-11-22
Fin 2016-11-25
ISBN/ISSN 9781509052905