Shin Jung W, Park Jun W, Lee Chul H, Hong Soyoung, Jo Yungho, Choi Jaesoon
National Cancer Center, Gyeonggi, Korea.
Conf Proc IEEE Eng Med Biol Soc. 2006;2006:347-9. doi: 10.1109/IEMBS.2006.260519.
In order to realize intelligent laparoscopic surgical robot, a vision integrated system constitutes one of the fundamental components. The authors have constructed a vision framework in the current version of NCC (National Cancer Center) laparoscopic surgical robot controlled on a real-time OS (RTLinux-Pro, FSMLabs Inc., U.S.A.). Adding vision framework, we have been applying and testing image processing algorithms- edge detection of object for positioning surgical tool, Watersheds for recognizing object. This paper documents the implementation of the framework and preliminary results of the image segmentation using Watersheds algorithm. Finally the real-time processing capability of our vision system is discussed.
为了实现智能腹腔镜手术机器人,视觉集成系统是其基本组成部分之一。作者在当前版本的由实时操作系统(美国FSMLabs公司的RTLinux-Pro)控制的国立癌症中心(NCC)腹腔镜手术机器人中构建了一个视觉框架。添加视觉框架后,我们一直在应用和测试图像处理算法——用于定位手术工具的物体边缘检测、用于识别物体的分水岭算法。本文记录了该框架的实现以及使用分水岭算法进行图像分割的初步结果。最后讨论了我们视觉系统的实时处理能力。