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文章基本信息

  • 标题:Algorithm Border Tracing vs Scanline in Blob Detection for Robot Soccer Vision System
  • 本地全文:下载
  • 作者:Awang Hendrianto Pratomo ; Anggit Ferdita Nugraha ; Joko Siswantoro
  • 期刊名称:International Journal of Advances in Soft Computing and Its Applications
  • 印刷版ISSN:2074-8523
  • 出版年度:2019
  • 卷号:11
  • 期号:3
  • 页码:40-55
  • 出版社:International Center for Scientific Research and Studies
  • 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.
  • 关键词:bob detection; scanline algorithm; border tracing algorithm; vision system; robot soccer
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