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Sonar image processing algorithms for object recognition using hovering-type AUV “Cyclops”

机译:声纳图像处理算法,用于使用悬停式AUV“ Cyclops”进行目标识别

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In this paper, we describe the developed hovering-type AUV called “Cyclops” and discuss characteristics of imaging sonar DIDSON as an tool for AUV application. The Cyclops was designed to perform an advanced mission like object recognition, and its symmetric design enable to maximize the mobility of the vehicle. This hardware structure makes the maintenance of the vehicle fast and convenient. We introduce sonar image process algorithms from simple to advanced ones for AUV application. The algorithm includes segmentation for the extraction of reverberation shapes in sonar images, speckle reduction after segmentation, edge detection, and shape matching analysis.
机译:在本文中,我们描述了开发的称为“ Cyclops”的悬停型AUV,并讨论了成像声纳DIDSON作为AUV应用工具的特性。独眼巨人旨在执行诸如对象识别之类的高级任务,其对称设计使车辆的机动性最大化。这种硬件结构使车辆的维修变得快捷方便。我们介绍了适用于AUV应用的声纳图像处理算法,从简单到高级。该算法包括用于提取声纳图像中混响形状的分段,分段后的斑点减少,边缘检测以及形状匹配分析。

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