| Metadato | Etiqueta | Valor | Idioma |
|---|---|---|---|
| dc.contributor.author | Autor | Marichal, Henry | - |
| dc.contributor.author | Autor | Randall, Gregory | - |
| dc.contributor.filiacion | Filiación | Marichal Henry, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.contributor.filiacion | Filiación | Randall Gregory, Universidad de la República (Uruguay). Facultad de Ingeniería. | - |
| dc.date.accessioned | Fecha ingreso | 2024-10-23T14:34:37Z | - |
| dc.date.available | Fecha disponible | 2024-10-23T14:34:37Z | - |
| dc.date.issued | Año de publicación | 2024 | - |
| dc.description.abstract | Resumen | This work presents the INBD network proposed by Gillert et al. [1] and studies its application for delineating tree rings in RGB images of Pinus taeda cross sections captured by a smartphone (UruDendro dataset), which are images with different characteristics from the ones used to train the method. The INBD network operates in two stages: first, it segments the background, pith, and ring boundaries. In the second stage, the image is transformed into polar coordinates and ring boundaries are iteratively segmented from the pith to the bark. Both stages are based on the U-Net architecture. The method achieves an F-Score of 77.5, a mAR of 0.540, and an ARAND of 0.205 on the evaluation set. The code for the experiments is available at https://github.com/hmarichal93/mlbrief_inbd. | es |
| dc.format.extent | Extensión | 10 p. | es |
| dc.format.mimetype | Formato | application/pdf | es |
| dc.identifier.citation | Citación | Marichal, H. y Randall, G. A brief analysis of the iterative next boundary detection network for tree rings delineation in images of Pinus taeda. [Preprint]. Publicado en: Computer Science. Computer Vision and Pattern Recognition (cs.CV), 2024, pp. 1-10. arXiv:2408.14343v1. DOI: 10.48550/arXiv.2408.14343. | es |
| dc.identifier.uri | URI | https://arxiv.org/abs/2408.14343 | - |
| dc.identifier.uri | URI | https://hdl.handle.net/20.500.12008/46458 | - |
| dc.language.iso | Idioma | en | es |
| dc.publisher | Editorial | arXiv | es |
| dc.relation.ispartof | EN | Computer Science. Computer Vision and Pattern Recognition (cs.CV), arXiv:2408.14343v1, aug. 2024, pp. 1-10. | es |
| dc.rights | Derechos | Las obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014) | es |
| dc.rights.licence | Licencia | Licencia Creative Commons Atribución - No Comercial - Compartir Igual (CC - By-NC-SA 4.0) | es |
| dc.subject | Palabras clave | Tree-rings | es |
| dc.subject | Palabras clave | U-Net | es |
| dc.subject | Palabras clave | Cross-section | es |
| dc.subject | Palabras clave | Segmentation | es |
| dc.title | Título | A brief analysis of the iterative next boundary detection network for tree rings delineation in images of Pinus taeda. | es |
| dc.type | Tipo de documento | Preprint | es |
| udelar.academic.department | Departamento académico | Procesamiento de Señales | es |
| udelar.investigation.group | Grupo de investigación | Tratamiento de Imagenes | es |
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| MR24.pdf | Preprint | 8.24 MB | Adobe PDF |