| Título |
Training a Multilayered Perceptron to Compute the Euler Number of a 2-D Binary Image |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
8th Mexican Conference on Pattern Recognition, MCPR 2016 |
| Resumen |
In this short communication, we explain how a Multilayered Perceptron (MLP) can be used to compute the Euler number or Genus of a 2-D binary image. We take as basis the results provided by a mathematical formulation that is known providing exact results in the computation of this important topological image feature to derive two MLP-based architectures, one useful for the 4-connected case and one useful for 8-connected case. We present results with a set of realistic images and compare our proposals in terms of processing with other approaches reported in literature. |
| Observaciones |
DOI: 10.1007/978-3-319-39393-3_5
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 9703 |
| Lugar |
Guanajuato |
| País |
Mexico |
| No. de páginas |
44-53 |
| Vol. / Cap. |
9703 LNCS |
| Inicio |
2016-06-22 |
| Fin |
2016-06-25 |
| ISBN/ISSN |
9783319393926 |
