应用于印刷品缺陷检测的改进模版匹配算法
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摘要
模版匹配算法是印刷品缺陷检测的重要环节,传统的模板匹配算法无法适应现在印刷产品的生产速度并难以达到越来越高的精度要求。因此,文章提出一种基于形状模版匹配的多区域模版匹配的改进算法,该算法创建多个特征区域并依次进行配准,根据配准数据获得均匀变换矩阵,并利用此变换矩阵进行仿射变换,从而完成整个模版匹配过程。该文在HALCON这一视觉软件平台开展算法研究,实验表明,该算法具有稳定、准确的特点,通过该算法可以实现对印刷品缺陷的精确检测。
Template matching algorithm is an important part of print defect detection, and the traditional template matching algorithm can not adapt to the speed of printing products now, and it is difficult to achieve higher precision requirements. Therefore,this paper proposes an improved algorithm for multi region template matching Based on shape template matching, the algorithm creates a plurality of characteristic areas and in order to obtain a uniform registration, according to the registration data and transform matrix, affine transformation using the transformation matrix, thus completing the whole process of template matching. In this paper, the algorithm is researched on the visual software platform of HALCON. The experimental results show that the algorithm is stable and accurate. Through this algorithm, the printed defects can be detected accurately.
Template matching algorithm is an important part of print defect detection, and the traditional template matching algorithm can not adapt to the speed of printing products now, and it is difficult to achieve higher precision requirements. Therefore,this paper proposes an improved algorithm for multi region template matching Based on shape template matching, the algorithm creates a plurality of characteristic areas and in order to obtain a uniform registration, according to the registration data and transform matrix, affine transformation using the transformation matrix, thus completing the whole process of template matching. In this paper, the algorithm is researched on the visual software platform of HALCON. The experimental results show that the algorithm is stable and accurate. Through this algorithm, the printed defects can be detected accurately.
引文
[1]谭刚,董祥龙,徐继,等.基于机器视觉的玻璃瓶表面缺陷检测[J].上海工程技术大学学报,2009(6).
[2]肖海俊,葛广英,等.基于Halcon的喷码字符识别技术的研究与实现[J].现代电子技术,2015,38(15):95-98.
[3]李小东,陈路,龚修端.基于数字图像处理的印刷品图像清晰度检测算法研究[J].包装工程,2009,30(1):2-3.
[4]王文成.基于HALCON的齿轮缺陷检测系统设计[J].机械传动,2014,38(9):60-63.
[5]陈艺峰.Halcon在工件二维尺寸检测上的应用[J].机电技术,2011(8):12-17.
[6]Zhang Z Y,A Flexible New Technique for Camera Calibration[J].IEEE Transaction on Pattern Analysis and Machine Intelli-gence,2000,11(22):1330-1334.
[7]周丽莎.基于模板匹配的视觉定位技术研究与应用[D].辽宁:大连理工,2012.
[8]曾强,孙坚.基于HALCON的刹车片轮廓缺陷检测方法研究[J].煤矿机械,2016,37(8):143-146.
[9]王宏丽,赵不贿,孙智权,等.基于HALCON的医疗袋缺陷检测[J].包装工程,2015,36(13):125-129.
[10]肖开明.图像配准算法及其在印刷质量检测中的应用[D].上海:上海大学,2004.
[11]邹广华.基于几何特征的快速模板匹配算法[D].黑龙江:哈尔滨工业大学,2010.
[2]肖海俊,葛广英,等.基于Halcon的喷码字符识别技术的研究与实现[J].现代电子技术,2015,38(15):95-98.
[3]李小东,陈路,龚修端.基于数字图像处理的印刷品图像清晰度检测算法研究[J].包装工程,2009,30(1):2-3.
[4]王文成.基于HALCON的齿轮缺陷检测系统设计[J].机械传动,2014,38(9):60-63.
[5]陈艺峰.Halcon在工件二维尺寸检测上的应用[J].机电技术,2011(8):12-17.
[6]Zhang Z Y,A Flexible New Technique for Camera Calibration[J].IEEE Transaction on Pattern Analysis and Machine Intelli-gence,2000,11(22):1330-1334.
[7]周丽莎.基于模板匹配的视觉定位技术研究与应用[D].辽宁:大连理工,2012.
[8]曾强,孙坚.基于HALCON的刹车片轮廓缺陷检测方法研究[J].煤矿机械,2016,37(8):143-146.
[9]王宏丽,赵不贿,孙智权,等.基于HALCON的医疗袋缺陷检测[J].包装工程,2015,36(13):125-129.
[10]肖开明.图像配准算法及其在印刷质量检测中的应用[D].上海:上海大学,2004.
[11]邹广华.基于几何特征的快速模板匹配算法[D].黑龙江:哈尔滨工业大学,2010.