Contributions to Proceedings:

M. Augustin, Y. Haxhimusa, W. Busch, W. Kropatsch:
"Image-based phenotyping of the mature arabidopsis shoot system";
in: "Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP)", S. Tsaftaris, H. Scharr (ed.); issued by: Sotirios A. Tsaftaris and Hanno Scharr; Proceedings of the ECCV-Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP), Zurich, CH, September 2014, 2014, 16 pages.

English abstract:
The image-based phenotyping of mature plants faces several
challenges from the image acquisition to the determination of quanti-
tative characteristics describing their appearance. In this work a frame-
work to extract geometrical and topological traits of 2D images of mature
Arabidopsis thaliana
is proposed. The phenotyping pipeline recovers the
realistic branching architecture of dried and attened plants in two steps.
In the rst step, a tracing approach is used for the extraction of centerline
segments of the plant. In the second step, a hierarchical reconstruction
is done to group the segments according to continuity principles. This
paper covers an overview of the relevant processing steps along the pro-
posed pipeline and provides an insight into the image acquisition as well
as into the most relevant results from the evaluation process.

image-based phenotyping geometrical/topological traits tracing hierarchical reconstruction network of curvilinear structures

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