DocumentCode
2251530
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
fYear
2006
fDate
28-30 Aug. 2006
Firstpage
1
Lastpage
5
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/CNNA.2006.341619
Filename
4145859
Link To Document