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西安理工大学硕士学位论文Title:STUDY
西安理工大学硕士学位论文
Title:STUDY ON QUALITY INSPECTION TECHNIQUE FOR GRAVURE PRINTING BASED ON THE S.rlATISTlCAL THRESHOLD METHOD
Major:Printing Engineering
Name:Yanyan GUAN Signature:纽竺鱼“驯
Supervisor:Prof.Xin LIU SignatureI&滥
Abstract
了地lligII speed and automation are the developmental trend of gravure technology,and the printing quality inspection technique and rote arc the key factors of gravure development. Although many experts in interior and exterior have done plentiful researches and required many productions,tllere are still lots of defects which coul血’t be detected.A new method
inspecting gravure printing quality was put forward for improving the inspection efficiency, reducing the wastage,saving the cost and achieving the progress control in this paper.
The model of gravure quality inspection system based on statistical threshold method was
established with the technology of digital image processing,and defects of gravure image could be detected.The peak out signal—to-noise was used to evaluate the effect of the noise process algorithms.According to the match fight probability and time,the image registration algorithm
is selected.The workflow of defect inspection was designed on the base of inspection demand.
The variance analysis and histogram analysis were used to process experimental data。 Comparing with the five algorithms,the Gauss Filter Was chosen to wipe off noise.The
match right probability and time of the three kinds of image registration algorithm weEe
calculated。and the algorithm of twice integrate match with 1ligh match right probability and
short time was selected.By analyzing image gray value fluctuation,the standard model image Was built and the gray threshold of each pixel Was gained.According to the workflow of defect inspection,the gravure quality inspection software was compiled to test and verify the statistical
threshold methed.
It has indicated:the peak out signal-to·noise of Gauss Filter was 28.89 dB,an
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