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

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

Research output: Contribution to conferencePaper

Abstract

© 2016 IEEE. 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.
Original languageAmerican English
Pages3-8
Number of pages0
DOIs
StatePublished - 22 Dec 2016
EventProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016 -
Duration: 22 Dec 2016 → …

Conference

ConferenceProceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016
Period22/12/16 → …

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Sossa, H., Carreon, A., Santiago, R., & Petrilli-Barcelo, A. (2016). Support vector machines applied to 2-D binary image Euler number computation. 3-8. Paper presented at Proceedings - 2016 International Conference on Mechatronics, Electronics, and Automotive Engineering, ICMEAE 2016, . https://doi.org/10.1109/ICMEAE.2016.010