A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans
In this work we propose a computer vision system (CVS) for automatic classification of beans. It is able to classify the beans most consumed in Brazil, according to their skin colors and is composed by three main steps: (i) image acquisition and pre-processing, (ii) segmentation of grains and (iii) classification of grains. In the conducted experiments, we used an apparatus controlled by a PC that includes a conveyor belt, an image acquisition chamber and a camera, to simulate an industrial line of production. The results obtained in the experiments indicate that proposed system could be used to support the visual quality inspection of Brazilian beans.
KeywordsBeans Granulometry Computer vision system
The authors would like to thank UNINOVE and FAPESP São Paulo Research Foundation (Process 2014/09194-5) by financial support.
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