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机构地区:[1]华中科技大学机械科学与工程学院,湖北武汉430074
出 处:《华中科技大学学报(自然科学版)》2006年第6期80-83,共4页Journal of Huazhong University of Science and Technology(Natural Science Edition)
基 金:湖北省自然科学基金资助项目(2005ABA269);武汉市青年科技晨光计划资助项目(2004500607126).
摘 要:研究了一种印刷品缺陷(如刀丝、拉墨、飞墨、错印、漏印等)高速在线检测的机器视觉系统.通过多照射角度和防眩光的光学系统,再现印品上的微小印刷缺陷;应用基于行程长缺陷编码的缺陷快速查找算法和防轮廓误检算法,避免了因纸张形变和张力波动造成的误检;采用了C/S网络化并行结构,对图像数据进行分布式处理和集中统计管理.现场运行表明该系统实现了对印品100%全面在线质量检测的要求,在高速生产环境下运行稳定可靠.A vision inspection system with high speed and on line is proposed to detect defects in printed matter, such as smudges, doctor streaks, pin holes, character misprints, foreign matters, hazing, and wrinkles, etc.,. Any tiny defect would be developed by using the high and low illumination angles design and anti-blooming techniques. Edge effect caused by paper tension and deformation was eliminated with the help of the fast objects searching algorithm based on run length-encoding and fast edge detection operators. C/S parallel network structure was used, image data were processed distributed and quality data is managed centralized. Experimental results verify the speed, reliability and accuracy of the proposed system.
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