| Título |
Characterization and Numerical Evaluation of a Color Image Segmentation Method |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
13th Mexican International Conference on Artificial Intelligence; MICAI 2014 |
| Resumen |
We present a characterization and a numerical evaluation of an own semiautomatic color image segmentation method using generated synthetic images with its associated ground truth. The evaluation methodology was designed to assess the efficiency of the resulting color information achieved from color segmentation
algorithms. By the use of ROC curves and its analysis, we obtained some particular characteristics of our segmentation method, such as the level of sensibility related to the threshold selection and to the appropriate number of pixels to have by the color sample needed by the algorithm. |
| Observaciones |
Artículo en proceso de publicación en IEEE |
| Lugar |
Tuxtla Gutiérrez, Chiapas |
| País |
Mexico |
| No. de páginas |
|
| Vol. / Cap. |
|
| Inicio |
2014-11-17 |
| Fin |
2014-11-22 |
| ISBN/ISSN |
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