[1]陈鹏宇[],孙文奇[],赵忠龙[]. 基于机器视觉的印刷质量检测研究[J].计算机技术与发展,2014,24(07):103-106.
　CHEN Peng-yu[],SUN Wen-qi[],ZHAO Zhong-long[]. rinting Quality Detection Based on Machine Vision[J].,2014,24(07):103-106.
点击复制

 基于机器视觉的印刷质量检测研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年07期
页码:
103-106
栏目:
智能、算法、系统工程
出版日期:
2014-07-10

文章信息/Info

Title:
 rinting Quality Detection Based on Machine Vision
文章编号:
1673-629X（2014）07-0103-04
作者:
 陈鹏宇[1]; 孙文奇[2]; 赵忠龙[3]
1.渥太华大学 工程学院 计算机科学系；2.辽宁大学 信息科学与技术学院；3.厦门大学 信息科学与技术学院
Author(s):
 CHEN Peng-yu[1]; SUN Wen-qi[2]; ZHAO Zhong-long[3]
关键词:
 ; 机器视觉; 印刷质量检测; 图像处理; 区域检测
Keywords:
 ; machine vision; printing quality detection; image processing; region detection
分类号:
TP391.4
文献标志码:
A
摘要:
 为了实现对物品印刷质量的高效检测，通过机器视觉技术，采用图像处理的方法来实现印刷品质量的检测。根据印刷检测的功能需求，设计了三个具体的功能模块，并在VS2008和OpenCV1.0平台下实现了印刷质量检测的功能，支持印刷品图像的输入、人机交互处理、划痕和偏色检测、结果输出等功能。与传统采用的手工方法相比，提高了印刷质量检测的效率，检测速度快，准确率高，检测结果客观，能够迅速而精确地检测出目标印刷品的外观缺陷程度。
Abstract:
 In order to realize the efficient quality detection of printed matters,by machine vision technology,adopt the method of image processing to realize the prints quality detection. According to the functional requirements of printing inspection, design three specific functional modules,and realize it in VS2008 and OpenCV1. 0 platform,supporting the printed image input,interactive processing,scratc-hing and color cast detection,results output and so on. Compared with the traditional manual methods,the efficiency of the printing quali-ty detection is improved,also with high detection speed and accuracy,and the results are objective,which can detect the targets’ printed appearance defects quickly and accurately.

相似文献/References:

[1]王明平 宋丽梅.基于计算机视觉的车架号采集系统[J].计算机技术与发展,2008,(04):239.
　WANG Ming-ping,SONG Li-mei.Vehicle Identify Number Acquisition System Based on Machine-Vision[J].,2008,(07):239.
[2]蒋恩松 肖辉军 孙刘杰 熊清廉.基于机器视觉的套印误差自动检测系统设计[J].计算机技术与发展,2008,(07):173.
　JIANG En-song,XIAO Hui-jun,SUN Liu-jie,et al.Design of Automatic Detecting Printing Registration Deviation System Based on Machine Vision[J].,2008,(07):173.
[3]张锦娟 师军 于佳丽 卢照.SpikeNet的研究及其在快速人脸识别中的应用[J].计算机技术与发展,2010,(07):235.
　ZHANG Jin-juan,SHI Jun,YU Jia-li,et al.Research on SpikeNet and Its Application in Quick Face Recognition[J].,2010,(07):235.
[4]方鹤鹤 冯宏伟 马煜.基于形态滤波和分水岭变换的边缘检测方法[J].计算机技术与发展,2006,(01):49.
　FANG He-he,FENG Hong-wei,MA Yu.Edge Detection Method Based on Morphology Filter and Watershed[J].,2006,(07):49.
[5]李雪晨 汪仁煌 艾星芳.改进的弯曲度算法在阶梯修剪检测中的应用[J].计算机技术与发展,2012,(03):166.
　LI Xue-chen,WANG Ren-huang,AI Xing-fang.Use of Improved Tortuosity Algorithm in Step Form Disfigurement Test[J].,2012,(07):166.
[6]赵立双 冯莹 曹毓.单目视觉定位中SURF算法参数的优化[J].计算机技术与发展,2012,(06):6.
　ZHAO Li-shuang,FENG Ying,CAO Yu.Optimization of SURF Parameters in Monocular Visual Odometry[J].,2012,(07):6.
[7]徐自越 李战明 李二超.OpenCV在焊缝实时检测与处理系统中的应用[J].计算机技术与发展,2012,(08):170.
　XU Zi-yue,LI Zhan-ming,LI Er-chao.Application of OpenCV on Real-time Detection and Processing System of Seam[J].,2012,(07):170.
[8]杨杰,卢盛林,赵晓芳.机器视觉在钢化玻璃缺陷检测中的应用研究[J].计算机技术与发展,2013,(03):211.
　YANG Jie,LU Sheng-lin,ZHAO Xiao-fang.Application and Research of Machine Vision in Tempered Glass Defect Inspection[J].,2013,(07):211.
[9]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(07):1.
[10]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(07):5.
[11]洪磊[],嵇保健[],洪峰[]. 一种基于亚像素角点的 SIFT 立体匹配算法研究[J].计算机技术与发展,2016,26(01):48.
　HONG Lei[],JI Bao-jian[],HONG Feng[]. Research on a SIFT Stereo Matching Algorithm Based on Sub-pixel Corners[J].,2016,26(07):48.
[12]张哲,朱铮涛,李渊,等. 瓶盖缺陷在线自动检测技术研究[J].计算机技术与发展,2016,26(06):151.
　ZHANG Zhe,ZHU Zheng-tao,LI Yuan,et al. Research on Online Automatic Detecting Technology for Bottle Cap Defects[J].,2016,26(07):151.

更新日期/Last Update: 2015-03-13