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This paper presents different methods for the automatic measurement of industrial parts by means of an artificial vision system. Performances in relation with precision and computer time consumption are discussed. Different algorithms are presented on industrial study cases in order to perform accurate measurements. Most methods work on grey level image and use subpixel algorithms. In this case, the precision is less than the traditional ratio `image size divided by the number of pixels.' In practice the problem is not so simple and even performing algorithms are not strong enough when lighting conditions are not optimum. For this reason, it's interesting to compare different study cases. Different hardware solutions from a turn key system to an image board for a personal computer have been used and we compare the set-up time which has been required in order to realize the complete vision system in both solutions.
Philippe Pollart
"Artificial vision and industrial control", Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138482
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Philippe Pollart, "Artificial vision and industrial control," Proc. SPIE 1713, International Conference on Manufacturing Automation, (18 January 1993); https://doi.org/10.1117/12.138482