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A Computer Vision System for Automatic Classification of Most Consumed Brazilian Beans

2015; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-319-27863-6_5

1611-3349

Sidnei Alves de Araújo, Wonder Alexandre Luz Alves, Peterson Adriano Belan, K. P. Anselmo,

Identification and Quantification in Food

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.