An Effective Algorithm for Edges and Veins Detection in Leaf Images

Nutrient status of a plant can be diagnosed by detecting the edges and veins of the leaf images since the deficiency symptoms are generally found in interveinal areas and along the edges. This paper proposes an effective algorithm for detecting the edges and veins in leaf images. The proposed algorithm was developed using Canny edge detection method. The algorithm provides accurate and positive results and may prove to be an effective tool in nutrient deficiency detection in leaves.