| Título |
Vegetation segmentation in cornfield images using bag of words |
| Tipo |
Congreso |
| Sub-tipo |
Memoria |
| Descripción |
17th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2016 |
| Resumen |
We provide an alternative methodology for vegetation segmentation in cornfield images. The process includes two main steps, which makes the main contribution of this approach: (a) a low-level segmentation and (b) a class label assignment using Bag of Words (BoW) representation in conjunction with a supervised learning framework. The experimental results show our proposal is adequate to extract green plants in images of maize fields. The accuracy for classification is 95.3% which is comparable to values in current literature. © Springer International Publishing AG 2016. |
| Observaciones |
DOI 10.1007/978-3-319-48680-2_18
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 10016 |
| Lugar |
Lecce |
| País |
Italia |
| No. de páginas |
193-204 |
| Vol. / Cap. |
v. 10016 LNCS |
| Inicio |
2016-10-24 |
| Fin |
2016-10-27 |
| ISBN/ISSN |
9783319486796 |
