Closed-loop feedback registration for consecutive images of moving flexible targets
Closed-loop feedback registration for consecutive images of moving flexible targets
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DOI：
10.1007/s10489-022-04068-0
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发表时间：
2021-10
影响因子：
5.3
通讯作者：
Rui Ma;Xian Du
中科院分区：
文献类型：
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作者：
Rui Ma;Xian Du
成像技术的进步使得能够获取连续的图像序列用于制造生产线的质量监控。这些图像序列的配准对于在线图案检查和计量是必不可少的，例如，在柔性电子产品的印刷过程中。然而，传统的图像配准算法不能产生准确的结果时，图像包含重复和变形的图案在制造过程中。这种失败源于传统算法仅使用空间和像素强度信息进行配准的事实。考虑到产品图像的时间连续性，本文提出了一种闭环反馈配准算法。该算法利用连续图像的时间和空间关系进行快速、准确和鲁棒的点匹配。实验结果表明，我们的算法发现约100%以上的匹配点对具有较低的均方根误差和减少高达86.5%的运行时间相比，其他国家的最先进的离群点去除算法。
Advancement of imaging techniques enables consecutive image sequences to be acquired for quality monitoring of manufacturing production lines. Registration for these image sequences is essential for in-line pattern inspection and metrology, e.g., in the printing process of flexible electronics. However, conventional image registration algorithms cannot produce accurate results when the images contain duplicate and deformable patterns in the manufacturing process. Such a failure originates from the fact that the conventional algorithms only use spatial and pixel intensity information for registration. Considering the nature of temporal continuity of the product images, in this paper, we propose a closed-loop feedback registration algorithm. The algorithm leverages the temporal and spatial relationships of the consecutive images for fast, accurate, and robust point matching. The experimental results show that our algorithm finds about 100% more matching point pairs with a lower root mean squared error and reduces up to 86.5% of the running time compared to other state-of-the-art outlier removal algorithms.