A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf
.
Leaf segmentation in plant phenotyping: a collation study
2015
Machine Vision and Applications
Image-based plant phenotyping is a growing application area of computer vision in agriculture. A key task is the segmentation of all individual leaves in images. Here we focus on the most common rosette model plants, Arabidopsis and young tobacco. Although leaves do share MM and SAT acknowledge a Marie Curie Action: "Reintegration vised fashion, and the other via optimal template selection and Chamfer matching. Overall, we find that although separating plant from background can be accomplished
doi:10.1007/s00138-015-0737-3
fatcat:c4dmf4exezgi3kiaxdipw3h7ai