计算机技术与发展Issue(7)：103-106,4.DOI:10.3969/j.issn.1673-629X.2014.07.026
基于机器视觉的印刷质量检测研究
Printing Quality Detection Based on Machine Vision
陈鹏宇 1孙文奇 2赵忠龙3
作者信息
- 1. 渥太华大学 工程学院 计算机科学系，加拿大 渥太华 K1N6S6
- 2. 辽宁大学 信息科学与技术学院，辽宁 沈阳 110072
- 3. 厦门大学 信息科学与技术学院，福建 厦门 361005
- 折叠
摘要
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.关键词
机器视觉/印刷质量检测/图像处理/区域检测Key words
machine vision/printing quality detection/image processing/region detection分类
信息技术与安全科学引用本文复制引用
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,(7):103-106,4.
