Fig. 8From: An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotypingComparison of the original (a, h) and segmented images (b–g, i–n) on two different illumination days using the three illumination-scenario specific models: general model for all light conditions (MALC) and models for high light-contrast (MHLC) and low light-contrast (MLLC). For each scenario, the support vector machines (SVM) and decision tree segmentation model (DTSM, see Guo et al. [22]) were used for training. See the details of the segmentation accuracy in the Additional file 2, the image 2014_11_07_FWW0070706Back to article page