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《Journal of Chongqing University of Technology(Natural Science)》 2017-08
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Research on the Technology of Detecting Printing Defects Based on Computer Vision

XU Zucheng;ZHOU Xin;YUAN Suozhong;WANG Congqing;ZHANG Xiaozheng;Department of Automatic Control,Nanjing University of Aeronautics and Astronautics;  
According to the accuracy requirement of detecting printing defects,this paper designed a distributed detection system based on computer vision. This system was mainly composed of image acquisition module,image processing module,input and output module. At the same time,this paper studied some related algorithms of image prepossessing,feature extraction,image registration,image matching and defect detection. The experiment results clearly show that this system and those image algorithms adopted can accurately calculate various characteristic parameters and determine types of different defects and can meet the requirement of the inspection of printing flaws.
【Fund】: 国家自然科学基金资助项目(61273050 61573185)
【CateGory Index】: TP391.41;TS807
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