Enabling automated herbarium sheet image post‐processing using neural network models for color reference chart detection

PREMISE: Large‐scale efforts to digitize herbaria have resulted in more than 18 million publicly available Plantae images on sites such as iDigBio. The automation of image post‐processing will lead to time savings in the digitization of biological specimens, as well as improvements in data quality....

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Detalles Bibliográficos
Autores principales: Ledesma, Dakila A., Powell, Caleb A., Shaw, Joey, Qin, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Protocol Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073326/
https://www.ncbi.nlm.nih.gov/pubmed/32185122
http://dx.doi.org/10.1002/aps3.11331

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7073326/
https://www.ncbi.nlm.nih.gov/pubmed/32185122
http://dx.doi.org/10.1002/aps3.11331

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