Herzliche Einladung zur Verteidigung der Masterarbeit von Andreas Foltyn (gemeinsam mit Fraunhofer EZRT, Fürth)
am DO, 19.4.2018, 12 Uhr im KogSys Lab.
Towards automated segmentation of plants – An exploration of deep neural networks for leaf isolation in agricultural crops
Plant phenotyping describes the quantitative analysis of observable plant traits and is gaining importance especially for effective plant breeding. Increasingly,the manual examination of plants is replaced by image-based methods, for which raw data often has to be segmented into semantically coherent parts, such as leaves. To this end, this thesis examines how deep neural networks can be used to segment 3D point clouds of plants, semantically as well as instance-base. In semantic segmentation, the plant is divided into distinct classes, while instance segmentation also distinguishes between individual instances of these
classes. For this purpose, two approaches were selected for each case, which were compared with each other. The results show that for semantic segmentation existing methods are already performing well. Although satisfactory results have been achieved for instance segmentation, this task still poses a challenge and requires further research.