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Detecting elliptical structures in underwater images

机译:在水下图像中检测椭圆形结构

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摘要

In this paper, the problem of detecting particular under- water structures, e.g., anodes used to join together separated sec- tions of a pipeline, from visual images is addressed. Images are acquired by an autonomous underwater vehicle during sea-bottom surveys for pipeline inspection. Anodes with different characteristics, e.g., material, size, color, etc., can be found on the same pipeline but all are characterized by the same visual feature, i.e., an elliptical arc. To this end, a voting-based method able to detect elliptical arcs on the image plane is used to locate accurately anodes along the pipleine.
机译:在本文中,解决了从视觉图像中检测特定水下结构(例如,用于将分离的管道连接在一起的阳极)的问题。在海底调查期间,由水下自动驾驶仪采集图像以进行管道检查。可以在同一条管道上找到具有不同特性(例如材料,尺寸,颜色等)的阳极,但是所有阳极都具有相同的视觉特征,即椭圆弧。为此,使用一种基于投票的方法,该方法能够检测图像平面上的椭圆弧,从而可以准确地沿形定位阳极。

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