Abstract
The image superposition is the important task in machine vision system. The scene which is shot by two-camera system is the same for each camera. So the images of each camera contain the same signal. This feature defines the possible criteria for image superposition. The research tests three criteria of superposition. These are criteria by correlation coefficient, the amount of the match contour points and the amount of match feature points. The numerical simulation was developed for this research. The results of simulation identified that the correlation coefficient criteria is the most noise resistance, but it demand the greatest processing time. The amount of match contour points criteria is the least noise resistance. The amount of match feature point’s criteria is better, than correlation coefficient criteria by noise resistance, and processing time is the least.
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