文献类型：期刊文献

中文题名：基于ROI模板的印刷品图像配准方法

英文题名：Printing Image Registration Based on ROI Template

作者：胡方尚[1];郭慧[1]

机构：[1]华东理工大学机械与动力工程学院,上海200237

年份：2016

卷号：42

期号：4

起止页码：582

中文期刊名：东华大学学报（自然科学版）

外文期刊名：Journal of Donghua University(Natural Science)

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2015_2016】；

语种：中文

中文关键词：印刷品图像配准;Canny算子;相似性度量;最小二乘法;质量检测;ROI(regionof;interest)模板

外文关键词：printing image registration; Canny operator; similarity measurement; least square method; quality detection; ROI（region of interest） template

摘要：针对印刷品质量检测中图像配准问题,提出了一种基于ROI(region of interest)模板的印刷图像配准算法.该方法以Canny算子获取的图像梯度向量为基础,定义相似性度量,同时结合阈值终止条件和矩阵搜索策略提高算法效率,并利用最小二乘法调整配准参数,最终实现彩色印刷图像高效配准.试验结果表明,相对于传统的图像配准算法,该方法配准精度高、速度快,而且鲁棒性强,能够为印刷品质量检测提供一种高效的图像配准算法.
A printing image registration algorithm based on ROI （region of interest） template is proposed for the problem of image registration in the quality inspection of printed matter. The similarity measurement is defined based on the image gradient vector obtained by Canny operator, which combines with threshold termination condition and matrix search strategy to improve algorithm efficiency. The registration parameters are adjusted by the least square method, and finally the color printing image registration is realized. Experimental results show that the proposed algorithm has higher accuracy, faster speed and stronger robustness than traditional template matching algorithm, which can provide an efficient image registration algorithm for printing quality inspection.