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Published on: August 29, 2025
Development of a vision integration framework for laparoscopic surgical robot.
Jung W Shin1, Jun W Park, Chul H Lee
1National Cancer Center, Gyeonggi, Korea. jwshin@ncc.re.kr
Summary
This study introduces a vision system for intelligent surgical robots, utilizing image processing for tool positioning and object recognition. Preliminary results show the Watershed algorithm
Area of Science:
- Robotics
- Computer Vision
- Surgical Technology
Background:
- Intelligent laparoscopic surgical robots require integrated vision systems.
- The National Cancer Center (NCC) developed a vision framework for their surgical robot.
- The system operates on a real-time operating system (RTLinux-Pro).
Purpose of the Study:
- To implement and test a vision framework for the NCC laparoscopic surgical robot.
- To evaluate image processing algorithms for surgical tool positioning and object recognition.
- To assess the real-time processing capabilities of the integrated vision system.
Main Methods:
- Developed a vision framework for a real-time controlled laparoscopic surgical robot.
- Applied edge detection for surgical tool positioning.
- Utilized the Watershed algorithm for object recognition and image segmentation.
Main Results:
- Successfully implemented the vision framework on the NCC surgical robot.
- Preliminary image segmentation results using the Watershed algorithm were obtained.
- The system's real-time processing capability was evaluated.
Conclusions:
- The integrated vision system is a fundamental component for intelligent laparoscopic surgery.
- Image processing algorithms like edge detection and Watershed are crucial for robot-assisted surgery.
- The developed vision system demonstrates potential for real-time applications in robotic surgery.
