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Leaves in arrangements of tomato and bean plants were segmented using an edge detection technique that used shadows from multiple, differently illuminated images to identify shadow edges and compared the results with those of a more conventional single image technique that identified intensity gradient edges. Images were taken in a 10 nm waveband centred at 766 nm and segmented by both techniques. Shadow edges produced segmentation percentages of 7% for bean and 18% for tomato for partially occluded leaves. Gradient edges segmented 12% for bean and 10% for tomato for partially occluded leaves. The results are poor when compared with existing work but the different modes of failure show potential for hybrid imaging techniques