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Mostrando ítems 1-5 de 5
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Automatic classification of legumes using leaf vein image features
(2014-01)In this paper, a procedure for segmenting and classifying scanned legume leaves based only on the analysis of their veins is proposed (leaf shape, size, texture and color are discarded). Three legume species are studied, ... -
Conjunto de datos de imágenes etiquetadas para el desarrollo de aplicaciones de reconocimiento de patrones en el cultivo de girasol
(Sociedad Argentina de Informática, 2019-09-16)Un conjunto de datos de imágenes etiquetado proporciona un recurso único para realizar actividades de investigación reproducibles y análisis de datos en varios campos computacionales, como la visión por computadora, el ... -
Detection and segmentation of vine canopy in ultra-high spatial resolution RGB imagery obtained from unmanned aerial vehicle (UAV) :a case study in a commercial vineyard
(2017)The use of Unmanned Aerial Vehicles (UAVs) in viticulture permits the capture of aerial Red-Green-Blue (RGB) images with an ultra-high spatial resolution. Recent studies have demonstrated that RGB images can be used to ... -
Enhanced high-spatial resolution radiographic images based on COTS CMOS image sensors applied to wood dendrochronology and densitometry
(Elsevier, 2024-03)The imaging of wood samples using X-rays for the study of dendrochronology and densitometry is predominantly conducted through analog films subsequently digitized or, in more advanced instances, with expensive flat-panel ... -
Multiscale recognition of legume varieties based on leaf venation images
(2014-08)In this work we propose an automatic low cost procedure aimed at classifying legume species and varieties based exclusively on the characterization and analysis of the leaf venation network. The identification of leaf ...