Possible automatic cork quality control by artificial vision

The quality control often requires some visual inspection systems for defec ts detection in industrial production. In such application, those systems o ffer more reliability and lower processing time than a human operator. So t his paper aims to introduce an automatic procedure to quality control of co rk bits used for quality estimation of cork stacks, which is based on digit al image analysis techniques. This procedure tries to quantify defects dens ity of cork bit and to classify them in different quality classes. Experime ntal results are presented in order to evaluate the performance of the prop osed automatic procedure.