Visual inspection of metal objects by using Cellular Neural Networks
Zoltán Szlávik, Ronald Tetzlaff, Andreas Blug, Heinrich A. Hoefler · 2006
Systems for visual inspection, usually, are quite sensitive against variations of the optical properties of the sample surface. In contrary to the above statement, the paper presents algorithmic solutions for visual inspection of metal objects by using a cellular wave computer, which evaluate the changes in optical properties of the inspected surface. The obtained results show the feasibility of the proposed method