Automated extraction of seed morphological traits from images

• Published in: Methods in ecology and evolution Vol. 14; no. 7; pp. 1708 - 1718
• Main Authors: Dayrell, Roberta L. C., Ott, Tankred, Horrocks, Tom, Poschlod, Peter
• Format: Journal Article
• Language: English
• Published: London John Wiley & Sons, Inc 01.07.2023; Wiley
• Subjects: Automation; Classification; Colorimetry; Correlation coefficient; Correlation coefficients; Datasets; Deep learning; diaspores; high‐throughput phenotyping; Image acquisition; Image analysis; Image contrast; Image processing; image segmentation; interpretability; Line interfaces; morphological description; Morphology; Object recognition; Open source software; Phylogeny; Physical characteristics; Scanners; seed morphology; seed traits; Seeds; Signal classification; Software; Taxa; trait measurement; Workflow

The description of biological objects, such as seeds, mainly relies on manual measurements of few characteristics, and on visual classification of structures, both of which can be subjective, error prone and time‐consuming. Image analysis tools offer means to address these shortcomings, but we curre...