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In this study, a machine vision system was developed to determine size distribution of lentil seeds from images of bulk samples. Seed boundaries were separated using morphological processing techniques. The size measurements were partitioned into various size categories in terms of histograms. The system was evaluated on different lentil varieties that differed in both seed size and colour characteristics. The vision results were compared with the caliper and sieve measurements to determine system performance. Results of this study indicate that machine vision can be used to obtain seed size distribution from images of bulk lentils.