Title :
Computer vision for industrial inspection through linguistic fuzzy variable inputs
Author_Institution :
Dept. of Mech. Eng., Hong Kong Univ., Hong Kong
Abstract :
Computer vision systems have been used in a wide range of industrial visual inspection tasks. These applications are successful when problems can be well formulated. This paper describes the implementation of a visual inspection system which formulate the human expertise in terms of fuzzy rules. This method is well applicable when an inspection task can not be numerically defined. Commencing with the basic system introduction, the paper will illustrate practical application example where IC mark (often in the forms of English characters and a company logo) inspection process is elaborated
Keywords :
automatic optical inspection; computer vision; fuzzy logic; industrial control; integrated circuit technology; English characters; IC mark inspection; company logo; computer vision; industrial inspection; linguistic fuzzy variable inputs; Computer industry; Computer vision; Feature extraction; Fuzzy sets; Fuzzy systems; Humans; Inference algorithms; Inspection; Machinery production industries; Pixel;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.397990