The Detection Method of Printed Registration Deviations Based on Machine Vision

In order to meet the actual requirements of judging four-color printed registration deviations quickly and accurately, this article describes a new detection method based on machine vision and the method has been designed involving three processes: removing interferential image by a corresponding region character separation (RCS) algorithm; detecting the edge of registration mark by interpolation subpixel algorithm and use weighted markov chain to calibrate the detection. The experiment indicates that the speed and accuracy with this method have greatly improved, and even with noise interference, this method can detect deviation quickly and accurately, superior to the traditional detection method.

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