| The main task of this thesis is to set up a digital and integration system to check and measure printing quality, which holds the four characters of automation, precision, efficiency and less cost, and thereby, finds basic principles and provides practice for normalization of printing-quality-measure system. The research follows, or even, guides the trend of printing technology, and undoubtedly, would help to accelerate the printing technology development and bring more benefits to the enterprises and people.Based on traditional technology, this new system combines image processing theories and printing principles, and also provides new theory for the for the automatic printing quantity checking system. Image match-orientation and Newton Iteration method are two main methods used in the system. In the data analysis compare and equation data processing methods are used to find the reason of variation.The main work:1)Selected the method of image noise reduction via connected-area-analysis. 2)Found the allowable max variation of image tilt based on the confirmatory experiment. 3)Took advantage to a less time cost algorithm and advance orientation precision by combination utilizing of orientation of dot and orientation of area in orientation of image. 4)Made template in different threshold in to reduce and eliminate printing qualityalgorithm and advance orientation precision by combination utilizing of orientation of dot and orientation of area in orientation of image. 4)Made template in different threshold in to reduce and eliminate printing quality variation.Experiment results have been shown that :1) Reducing noise of the image by Gaussian Template reaches the minimal lost of the image;2)The maximum tilt angle of the image is 0. 002 radian;3)The method of images orientation combined the dot orientation;4)When making template, using of 80% to 100% threshold value is efficient;5)The measurement method of the new system is more exact and efficient than traditional checking method.
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