《计算机应用研究》|Application Research of Computers

一种基于日期码的快速缺陷检测算法

Fast defect detection algorithm based on date code

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作者 冯玮,方春,孙福振
机构 山东理工大学 计算机科学与技术学院,山东 淄博 255049
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文章编号 1001-3695(2019)06-064-1907-04
DOI 10.19734/j.issn.1001-3695.2018.01.0058
摘要 日期码缺陷检测仍然以人工为主。现有的用于检测日期码缺陷的算法受限于时间复杂度和准确率,无法在工业界获得较大范围的应用。针对这样的情况,提出了一种新的基于迭代配准的post-rotate iterative closest point(PRICP)算法。该算法把日期码抽象为点特征,通过对模板和特征点进行配准来快速检测日期码的缺陷,引入机器学习进一步提高了该算法的准确性、鲁棒性及缺陷分类能力。该算法已经成功应用于青岛啤酒厂流水线喷码日期的缺陷检测中,现场运行结果显示该算法在鲁棒性和效率方面明显优于其他方法,适用于多个连通域信息码的快速缺陷检测,同时不受条件及背景约束,抗噪声能力强,可直接应用于其他的视觉领域。
关键词 特征提取; 模板匹配; 机器学习; PRICP算法
基金项目 国家自然科学基金青年基金资助项目(61602280)
山东省自然科学基金青年基金资助项目(ZR2014FQ028)
本文URL http://www.arocmag.com/article/01-2019-06-064.html
英文标题 Fast defect detection algorithm based on date code
作者英文名 Feng Wei, Fang Chun, Sun Fuzhen
机构英文名 School of Computer Science & Technology,Shandong University of Technology,Zibo Shandong 255049,China
英文摘要 The defect detection of date code relies mainly upon manual inspection. Due to the high complexity of time and the low accuracy, the existing algorithms for detecting the defect of codes can not obtain a wide range of applications in industry. For such a situation, this paper proposed an algorithm named PRICP based on iterative registration. This algorithm first abstracted the date code as a point feature, and then registered the template and feature points to achieve the purpose of detecting the defect. Machine learning as an upgrade auxiliary function, it improved its accuracy, robustness and defect classification ability. This algorithm successfully applied to the inspection of the date code of Tsingtao. The operation results demonstrate that the algorithm insensitive to constraint conditions, background and noise is superior to the traditional method in terms of robustness and efficiency, can detect the defect of information codes of multiple connected domains fastly and be directly applied to other visual field.
英文关键词 feature extraction; template matching; machine learning; post-rotate iterative closest point(PRICP) algorithm
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收稿日期 2018/1/12
修回日期 2018/3/12
页码 1907-1910
中图分类号 TN391.4
文献标志码 A