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Automated interpretation of 3D laserscanned point clouds for plant organ segmentation

Mirwaes Wahabzada; Stefan Paulus; Kristian Kersting; Anne-Katrin Mahlein
In: BMC Bioinformatics, Vol. 16, Pages 248:1-248:11, BioMed Central, 2015.


Background Plant organ segmentation from 3D point clouds is a relevant task for plant phenotyping and plant growth observation. Automated solutions are required to increase the efficiency of recent high-throughput plant phenotyping pipelines. However, plant geometrical properties vary with time, among observation scales and different plant types. The main objective of the present research is to develop a fully automated, fast and reliable data driven approach for plant organ segmentation.

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