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MOSAICING OF ACOUSTIC VIDEO IMAGES FOR UNDERWATER STRUCTURE INSPECTION

机译:水下结构检查的声音视频图像的马赛克化

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With the development of international communication and the advent of terrorism, safety and security of the underwater structures such as shipping dock, bridge pier and the bottom of ship hull become a key issue. Generally, in order to inspect the underwater structures, divers are sent down to make tactile examination, or with a camera to take photos or video tapes for further study and examination. However, in dark, turbid water, the quality of the optical images is practically not good enough to give much useful information of the underwater structures. And the working efficiency of this kind of inspection is relatively low. To overcome these problems, it is imperative that more efficient and effective inspection methods are developed. Recently, an acoustic lens camera called DIDSON (Dual-frequency Identification Sonar), which is invented by the Applied Physics Laboratory, University of Washington, can provide almost-video-quality images to identify objects even in turbid water. It has been proved to be very useful in underwater objects searching, especially in dark, turbid water. Although the quality of every single frame provided by DIDSON is quite good, its field of view is narrow, only 29 degrees in horizontal and 14 degrees in vertical, making it hard to comprehend the overall condition of the inspection area and guarantee the safety and security of underwater structures. In this paper, we present a new mosaicing methodfor the time-sequential images provided by DIDSON, which enables us to inspect the whole underwater structure in a computer screen. An experiment was carried out to inspect the underwater part of a shipping dork. Our experimental result has shown that the proposed method can successfully mosaic the images provided by DIDSON, and thereby expand the visual field of DIDON indirectly which enables it to be effectively used in underwater structures inspection.
机译:随着国际交流的发展和恐怖主义的到来,诸如船坞,桥墩和船体底部之类的水下结构的安全性成为关键问题。通常,为了检查水下结构,潜水员被送下进行触觉检查,或用相机拍摄照片或录像带以供进一步研究和检查。然而,在黑暗,浑浊的水中,光学图像的质量实际上不足以提供水下结构的许多有用信息。而且这种检查的工作效率相对较低。为了克服这些问题,必须开发出更加有效的检查方法。最近,由华盛顿大学应用物理实验室发明的名为DIDSON(双频识别声纳)的声透镜相机可以提供几乎视频质量的图像,即使在浑浊的水中也能识别物体。事实证明,它在水下物体搜索中非常有用,尤其是在黑暗,浑浊的水中。尽管DIDSON提供的每个单帧质量都不错,但其视野范围狭窄,水平仅29度,垂直仅14度,这使得难以理解检查区域的整体状况并确保安全性水下结构。在本文中,我们提出了一种新的镶嵌方法 DIDSON提供的按时间顺序排列的图像,这使我们能够在计算机屏幕上检查整个水下结构。进行了一项检查船坞水下部分的实验。实验结果表明,该方法能够成功拼接DIDSON提供的图像,从而间接扩展了DIDON的视野,使其可以有效地用于水下结构检查中。

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