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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 accomplisheddoi:10.1007/s00138-015-0737-3 fatcat:c4dmf4exezgi3kiaxdipw3h7ai