Registration-Classification based Approach to Multimodal Plant Image Segmentation (RCS)
RCS is a command-line tool which was developed to perform a fully automated segmentation of a pair of corresponding fluorescent (FLU) and visible light (VIS) images
such as acquired with LemnaTec phenotypic screening facilities.
The RCS tool performs affine registration of a pair of FLU/VIS images followed by subsequent separation of plant and marginal background regions using pre-trained classification models.
where rcs.exe is the name of the RCS executable file, vis_img.png and flu_img.png are input VIS and FLU images,
bg_vis.png and bg_flu.png are the corresponding reference (empty background) images of the same size as vis_img.png and flu_img.png.
vis_seg.png and flu_seg.png are the segmented output images that are written out by RCS. class_model.mat is the name
of one of the classification models provided with the RCS file repository (see the 'models' directory), and show_figs is a string
parameter controlling optional visualization of results ("yes" to show figures, otherwise "no").
Further details on how to use the RCS tool can be found in the RCS Quick Guide (3MB).
Leibniz Institute of Plant Genetics and Crop Plant Research (IPK)
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