Legume identification by leaves vein images classification

M. G. LARESE; C. GALLO; R. M. CRAVIOTTO; M. R. ARANGO; P. M. GRANITTO

Buenos Aires

Congreso; CIARP 2012; 2012

In this paper we propose an automatic algorithm able to classify legume leaves images considering only the leaf venation patterns (leaf shape, color and texture are excluded). This method processes leaves images captured with a standard scanner and segments the veins using the Unconstrained Hit-or-Miss Transform (UHMT) and adaptive thresholding. We measure several morphological features on the veins and classify them using Random forests. We applied the process to recognize several legumes soybean, white bean and red bean). We analyze the importance of the features and select a small set which is relevant for the recognition task. The performance achieved by our automatic procedure is equivalent to the expert manual classification.