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A real-time two-stage and dual-check template matching algorithm based on normalized cross-correlation for industrial vision positioning

机译：基于归一化互相关的实时两阶段和双检查模板匹配算法，用于工业视觉定位

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摘要

In this paper, a fast template matching algorithm of two-stage and dual-check bounded partial correlation (TDBPC) based on normalized cross-correlation (NCC) of single-check bounded partial correlation is proposed. According to the principle of continuous rows, the template and the sub-image under matching are divided into three subregions to obtain two upper boundary terms of NCC and get two checking conditions then. In this way, it is possible to quickly eliminate matching points that cannot provide a better cross-correlation score regarding the current best candidate. Generally, to get the highest cross-correlation score, the sub-image has to traverse through the whole image. In addition, the two-stage search strategy of coarse-fine proposed in this paper can further reduce the calculation and improve matching efficiency. The initialization parameters are selected experimentally or automatically. Experimental results show that the TDBPC algorithm proposed in this paper can solve high computational complexity and long matching time of NCC template matching and make it possible to achieve real-time template matching in industrial vision positioning fields. The feasibility of this algorithm in practical application is proved.
机译：在本文中，提出了一种基于单检查界限部分相关的归一化互相关（NCC）的两阶段和双检查限定部分相关（TDBPC）的快速模板匹配算法。根据连续行的原理，匹配下的模板和子图像被分成三个子区域，以获得NCC的两个上边界条款，然后获得两个检查条件。以这种方式，可以快速消除不能提供关于当前最佳候选的更好的互相关评分的匹配点。通常，为了获得最高的互相关评分，子图像必须遍历整个图像。此外，本文提出的粗精细的两阶段搜索策略可以进一步降低计算并提高匹配效率。初始化参数是通过实验或自动选择的。实验结果表明，本文提出的TDBPC算法可以解决NCC模板匹配的高计算复杂性和长匹配时间，并使得可以在工业视觉定位领域实现实时模板匹配。证明了该算法在实际应用中的可行性。

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  • 来源
    《Pattern Analysis and Applications》 |2021年第3期|1427-1439|共13页
  • 作者

    Chen Fengjun; Liao Jinqi; Lu Zejin; Lv Jiyang;

  • 作者单位

    Hunan Univ HUN Coll Mech & Vehicle Engn State Key Lab Adv Design & Mfg Vehicle Body Changsha 410082 Hunan Peoples R China|Hunan Univ Natl Engn Res Ctr High Efficiency Grinding Changsha 410082 Hunan Peoples R China;

    Hunan Univ HUN Coll Mech & Vehicle Engn State Key Lab Adv Design & Mfg Vehicle Body Changsha 410082 Hunan Peoples R China|Hunan Univ Natl Engn Res Ctr High Efficiency Grinding Changsha 410082 Hunan Peoples R China;

    Hunan Univ Natl Engn Res Ctr High Efficiency Grinding Changsha 410082 Hunan Peoples R China;

    Hunan Univ Natl Engn Res Ctr High Efficiency Grinding Changsha 410082 Hunan Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Vision positioning; Real-time template matching; Dual-check bounded partial correlation; Two-stage search strategy;

    机译：视觉定位;实时模板匹配;双重检查有限部分相关;两阶段搜索策略;

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