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首页> 外文期刊>International Journal of Advances in Soft Computing and Its Applications >Algorithm Border Tracing vs Scanline in Blob Detection for Robot Soccer Vision System
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Algorithm Border Tracing vs Scanline in Blob Detection for Robot Soccer Vision System

机译：机器人足球视觉系统斑点检测中的算法边界追踪与扫描线

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摘要

In a robotic soccer competition, the locations of the ball and the robot are recognized through the vision system in a strong dynamic environment. Therefore, the robot and the computer need to identify the object in real-time and accurately through the vision system. In this study, algorithm border tracing and algorithm scan line were applied in vision system for the robotic soccer team of the Universitas Pembangunan Nasional UPN “Veteran” Yogyakarta. Two algorithms were introduced to detect the blob in order to identify the robot, the ball and the other object in the field. The Experimental results showed that border tracing algorithm has 100% accuracy in all shape (triangle, square and rectangle) of blob. Whether scan line algorithm has 25% accuracy for triangle, 0% for rectangle and 100% for square. Therefore it has been shown that border tracing algorithm is superior to scan line.
机译：在机器人足球比赛中，在强大的动态环境中通过视觉系统识别球和机器人的位置。因此，机器人和计算机需要通过视觉系统实时，准确地识别物体。在这项研究中，算法边界追踪和算法扫描线被应用在视觉系统中，该系统用于Universitas Pembangunan National UPN日惹大学的机器人足球队。引入了两种算法来检测斑点，以识别机器人，球和现场的其他物体。实验结果表明，边界跟踪算法在斑点的所有形状（三角形，正方形和矩形）中具有100％的精度。扫描线算法对于三角形是否具有25％的精度，对于矩形是否为0％，对于正方形的精度为100％。因此，已经表明边界跟踪算法优于扫描线。

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