一种改进的嵌入式系统归一化互相关算法

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON) Pub Date : 2021-12-01 DOI:10.1109/UEMCON53757.2021.9666634

Ismael Lopez Sanchez, M. Galaviz, Damian Gomez Herrera, L. R. Domínguez

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引用次数: 0

摘要

与图像匹配相关的问题，如处理时间、性能、旋转和尺度的变化等，得到了广泛的研究。然而，创建可以在嵌入式系统中实现的简单图像匹配解决方案一直被忽视。因此，本文提出了一种用于嵌入式系统的改进的归一化相互关联算法，旨在为水泥瓦应用创造一种低成本的解决方案。该算法依赖于模板匹配的概念，并利用互相关、零均值归一化和阈值法实现。实验结果表明，该算法适用于水泥瓦的实际应用，适用于水泥瓦现场安装或生产过程中的缺陷检测。最后，该算法可以作为鉴别器来识别质量不合格问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A modified Normalized Cross-Correlation algorithm for Embedded Systems

Problems related to image matching, such as processing time, performance, and changes in rotation and scale are widely studied. However, creating simple solutions for image matching that can be implemented in an embedded system has been overlooked. Therefore, this paper proposes a modified Normalized Cross-Correlation algorithm for embedded systems aimed at creating a low-cost solution for a cement tile application. The algorithm relies on the concept of template matching and it makes use of cross-correlation, zero-mean normalization, and thresholding for its implementation. Experimental results show that the algorithm is suitable for a cement tile application and appropriate to detect defective cement tiles during an on-site installation or manufacturing process. Finally, it is shown that the algorithm can act as a discriminator to identify quality non-conformance issues.

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来源期刊

2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)

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