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Fig. 5 | Plant Methods

Fig. 5

From: A two-step registration-classification approach to automated segmentation of multimodal images for high-throughput greenhouse plant phenotyping

Fig. 5

Classification between plant and non-plant (background) regions of pre-segmented image using pre-trained color classification models. a Original VIS image of mid-stage arabidopsis shoot in top-view. b Pre-segmented VIS image. c Clustering of (b) into 10 k-means color regions visualized with pseudo-colors. d, e Plant regions computed as median (d) or fusion (e) of eight binary classification results. f Plant regions predicted by eight color classification models. Plots show assignment of region labels to one of two binary color region categories: plant (1) or non-plant (0). The dotted-line indicates the threshold (tsh = 0.5) for assignment of fuzzy label estimates (\(FE\in [0,1]\)) of some classifiers (glm, gpr, linmod, svmreg) to one of two binary categories, i.e. if \(FE\ge 0.5\) then plant (1), if \(FE<0.5\) then non-plant (0)

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Plant Methods

ISSN: 1746-4811