Title :
Tumor size measurement and feature point extraction using an endoscope
Author :
Lim, Jong-Wook ; Woo, Dong-Gi ; Chun, Hoon-Jai ; Keum, Bora ; Hyun, Jong-Jin ; Kim, Young-Joong ; Lim, Myo-Taeg
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Abstract :
Recently, a development of the medical instrument using the vision information is brisk. Especially, extracting the 3-dimension information from 2-dimension image is the one of the major research topics. This paper proposes the method to measure tumor size by the 3-dimension information extraction, the triangulation using the extracted 3-dimension information and the camera geometry. To extract the 3-dimension information, the Hough circle transform and triangulation are used. The Hough circle transform is used to extract a feature point from tumor models for the 3-dimension information recovery. An extracted feature point is used for recovering the depth information from the 2-dimension tumor stereo images. A tumor size measurement is done by triangulation using the depth information and camera internal parameters. Matlab and Visual C++ are used for simulation.
Keywords :
Hough transforms; computational geometry; endoscopes; feature extraction; medical image processing; stereo image processing; tumours; 3D information extraction; 3D information recovery; Hough circle transform; Matlab; Visual C++; camera geometry; endoscope; feature point extraction; medical instrument; triangulation; tumor size measurement; tumor stereo image; vision information; Biomedical imaging; Cameras; Data mining; Equations; Feature extraction; Transforms; Tumors; 3-D reconstruction; Endoscope; Stereo Vision;
Conference_Titel :
Control Automation and Systems (ICCAS), 2010 International Conference on
Conference_Location :
Gyeonggi-do
Print_ISBN :
978-1-4244-7453-0
Electronic_ISBN :
978-89-93215-02-1