Computer vision applied to herbarium specimens of German trees: testing the future utility of the millions of herbarium specimen images for automated identification

BACKGROUND: Global Plants, a collaborative between JSTOR and some 300 herbaria, now contains about 2.48 million high-resolution images of plant specimens, a number that continues to grow, and collections that are digitizing their specimens at high resolution are allocating considerable recourses to...

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Detalles Bibliográficos
Autores principales: Unger, Jakob, Merhof, Dorit, Renner, Susanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112707/
https://www.ncbi.nlm.nih.gov/pubmed/27852219
http://dx.doi.org/10.1186/s12862-016-0827-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5112707/
https://www.ncbi.nlm.nih.gov/pubmed/27852219
http://dx.doi.org/10.1186/s12862-016-0827-5

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