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Fig. 6 | Plant Methods

Fig. 6

From: X-ray driven peanut trait estimation: computer vision aided agri-system transformation

Fig. 6

Individual steps involved in image processing of the individual X-ray pod projections obtained from CTportable160.90. a is the original image (within the image the parts of the pods that we attempted to predict are named). In the following steps the eps-borders were eliminated; these borders are marked with yellow ellipsoids (b); subsequently, the areas of borders not containing a peanut pod were averaged (c) and subtracted from the fig (d) (compare c and d). Consequently, for each pixel its absolute value was taken (e) and a threshold value of 5250 (c) applied to the image leading to (f). In f the small area not containing peanut or a border (indicated by an orange square) was used to set the i0. This i0 was applied to the fig and resulted in g. Consequently, the image was transformed with Eq. 1 used as an input to CNN (h). To apply the XTR method for pod feature prediction, the mask based on the Otsu-thresholding method—used to differentiate the kernel (i) and shell occupied area (j)—was further applied to 5h

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