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文章基本信息

  • 标题:Automatic instrument localization in laparoscopic surgery
  • 作者:Joan Climent ; Pere Mares
  • 期刊名称:ELCVIA: electronic letters on computer vision and image analysis
  • 印刷版ISSN:1577-5097
  • 出版年度:2004
  • 卷号:4
  • 期号:1
  • 页码:21-31
  • DOI:10.5565/rev/elcvia.70
  • 出版社:Centre de Visió per Computador
  • 摘要:This paper presents a tracking algorithm for automatic instrument localization in robotically assisted laparoscopic surgery. We present a simple and robust system that doesn't need the presence of artificial marks, or special colours to distinguish the instruments. So, the system enables the robot to track the usual instruments used in laparoscopic operations. Since the instruments are normally the most structured objects in laparoscopic scenes, the algorithm uses the Hough transform to detect straight lines in the scene. In order to distinguish among different instruments or other structured elements present in the scene, motion information is also used. We give in this paper a detailed description of all stages of the system.
  • 其他摘要:This paper presents a tracking algorithm for automatic instrument localization in robotically assisted laparoscopic surgery. We present a simple and robust system that doesn't need the presence of artificial marks, or special colours to distinguish the instruments. So, the system enables the robot to track the usual instruments used in laparoscopic operations. Since the instruments are normally the most structured objects in laparoscopic scenes, the algorithm uses the Hough transform to detect straight lines in the scene. In order to distinguish among different instruments or other structured elements present in the scene, motion information is also used. We give in this paper a detailed description of all stages of the system. keywords: automatic target recognition, medical imaging, object recognition
  • 关键词:automatic target recognition; medical imaging; object recognition
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