Image recognition of triangular tissue of an organ pulled by forceps in surgical working area for laparoscope robot
Hisa Nakasuji, Kazuki Naruki, Toshikazu KAWAI, Atsushi Nishikawa, Yuji Nishizawa, Tatsuo Nakamura
- Year
- 2017
- Citations
- 2
Abstract
An image processing method using selected corner points and ridge lines to recognize triangular tissue of an organ pulled by forceps in a laparoscopic view has been developed. The proposed method could be used for semi-automatic control of a laparoscope robot. It makes use of a masking process based on the recognition of the forceps and clots, detection of corner points for a Delaunay diagram, detection of ridge lines oriented in the same direction, and recognition of the triangular working area. Triangles recognized in laparoscopic surgical videos using this method were similar to the correct triangles made by an endoscopic specialist.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002