Title :
Visual inspection of metal objects by using Cellular Neural Networks
Author :
Szlavik, Zoltan ; Tetzlaff, Ronald ; Blug, Andreas ; Hoefler, Heinrich
Author_Institution :
Analogic & Neural Comput. Lab., Hungarian Acad. of Sci., Budapest
Abstract :
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
Keywords :
cellular neural nets; image processing; inspection; production engineering computing; algorithmic solutions; cellular neural networks; cellular wave computer; mathematical morphology; metal objects; visual inspection; Cellular neural networks; Computer networks; Costs; Humans; Image processing; Inspection; Optical computing; Optical surface waves; Sensor arrays; Surface morphology; cellular neural networks; mathematical morphology; visual inspection;
Conference_Titel :
Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
Conference_Location :
Istanbul
Print_ISBN :
1-4244-0639-0
Electronic_ISBN :
1-4244-0640-4
DOI :
10.1109/CNNA.2006.341619
