Faculdade de Engenharia da Universidade do Porto

This paper describes the image processing tasks developed under a R&D project (iVLab project), between the Faculty of Engineering of Oporto University and an industrial machinery equipment leader in the production of equipments for the cork sector. The main objective of the project was to develop a system capable of classifying cork stoppers in different classes according to their surface characteristics; therefore, using grey scale image processing and pattern recognition techniques it was possible to develop a system able of learning each class characteristics and, afterwards, make its classification in different classes