Investigation of vision system design factors which affect the performance of camera calibration

The critical design parameters using synthetic images which shows scene information is studied to provide a valuable tool to evaluate algorithm performance. This leads to a better understanding of the magnitude and type of errors incurred. Numerical simulations of image capture differentiate and report minute changes in design factors more accurately than a physical prototype. Results suggest that synthetic images can be used to investigate the effect of design factors on the performance of image processing algorithms. While the synthetic images do not fully emulate the real manufacturing environment, they sufficiently predict captured image intensity value and the effects of small variations in major design parameters are easily investigated.