To improve the image distortion and machine motion accuracy in machine vision measuring system

• Autores: Chih-Hung Tsai, Shiaw-Wen Tien, Yi-Chan Chung, Yu-Tang Lin
• Localización: International journal of the computer, the internet and management, ISSN 0858-7027, Vol. 10, Nº. 2, 2002, págs. 56-80
• Idioma: inglés
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• Resumen

  • In general, machine vision measurement errors include image system errors and measuring platform errors. Image system errors include the errors due to the computation principle and imaging equipment, which will cause the measured results of the same object to vary with the position change of the object in image when the measuring platform is fixed. This is caused by lens distortion, uneven light sources, and the angle between the lens and the object. On the other hand, the measuring platform errors are produced by machine motion and positioning errors. This research attempts to study the variation in distortion and accuracy of machine positioning so as to establish a compensation table to compensate the variation caused by the different position of the object in image, and under the condition of providing convenience for users to obtain a calibration object, to complete compensation and thus improve the accuracy of measuring.