Support vector machines applied to 2-D binary image Euler number computation

Humberto Sossa, Angel Carreon, Raul Santiago, Alberto Petrilli-Barcelo

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

3 Citas (Scopus)

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.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas3-8
Número de páginas6
ISBN (versión digital)9781509052905
DOI
EstadoPublicada - 22 dic. 2016
Evento2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016 - Cuernavaca, Morelos, México
Duración: 22 nov. 201625 nov. 2016

Serie de la publicación

NombreProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016

Conferencia

Conferencia2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016
País/TerritorioMéxico
CiudadCuernavaca, Morelos
Período22/11/1625/11/16

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