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The Compensation of Machine Vision Image Distortion  

Chung, Yi-Chan (Department of Industrial Engineering and Management Ta-Hwa Institute of Technology)
Hsu, Yau-Wen (Department of Industrial Engineering and Management Ta-Hwa Institute of Technolog)
Lin, Yu-Tang (Department of Industrial Engineering and Management Ta-Hwa Institute of Technolog)
Tsai, Chih-Hung (Department of Industrial Engineering and Management Ta-Hwa Institute of Technology)
Publication Information
International Journal of Quality Innovation / v.5, no.1, 2004 , pp. 68-84 More about this Journal
Abstract
The measured values of a same object should remain constant regardless of the object's position in the image. In other words, its measured values should not vary as its position in the image changes. However, lens' image distortion, heterogeneous light source, varied angle between the measuring apparatus and the object, and different surroundings where the testing is set up will all cause variation in the measurement of the object when the object's position in the image changes. This research attempts to compensate the machine vision image distortion caused by the object's position in the image by developing the compensation table. The compensation is accomplished by facilitating users to obtain the correcting object and serves the objective of improving the precision of measurement.
Keywords
Machine Vision; Image Distortion; Compensation Table;
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