Research on optical detection technology for underwater archaeology

Wei Mu, Ruohan Zheng, Wenrui Zhang
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Abstract

In response to the problem that the current image processing technology and underwater target recognition algorithms are not yet mature enough in the field of underwater archaeology, this article innovatively applies object detection and underwater image clarity technology to the field of underwater archaeology. We propose a method for detecting and recognizing underwater cultural heritage based on optical devices. The method includes ocean image preprocessing and underwater cultural heritage object recognition based on YOLO V4. The results of experiments demonstrate that the proposed method can effectively and accurately detect and recognize targets in the underwater cultural heritage scene, and the clear image of the underwater relics after image preprocessing can better assist archaeologists in observing the species and distribution of samples in the real scene.
水下考古光学探测技术研究
针对目前水下考古领域的图像处理技术和水下目标识别算法还不够成熟的问题,本文创新性地将目标检测和水下图像清晰度技术应用于水下考古领域。提出了一种基于光学装置的水下文化遗产探测与识别方法。该方法包括海洋图像预处理和基于YOLO V4的水下文物目标识别。实验结果表明,该方法能够有效、准确地检测和识别水下文物场景中的目标,图像预处理后的水下文物清晰图像能够更好地辅助考古学家观察真实场景中样本的种类和分布。
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