The Research of Corner Detector of Teeth Image Based on the Curvature Scale Space Corner Algorithm
In order to detect the corners of the teeth image, which were acquired by oral cavity endoscope, in this paper, we used the CSS algorithm. In this method, firstly, we removed the noise of the image by the morphology open operation and median filtering; secondly, we segmented the image by the threshold based on the gray value of the image; thirdly, we detected the edge of the teeth image by the Canny edge detector; last, we detected the corners by the adaptive threshold curvature scale corner detector. Through lots of experiments and we compare this method to other corner detector methods; this method can detects the corners of the teeth image effectively, which offers some available parameters for the 3D reconstruction of the teeth.
curvature scale space corner detector canny edge detector
Huanli Li Lihong Guo Tao Chen Huanli Li Limei Yang Xinzui Wang
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences CIOMP Changch Graduate School of the Chinese Academy of Sciences,GSCAS Beijing, China Changchun University of Technology CCUT Changchun, China Suzhou Institute of Biomedical Engineering and Technology SIBET Suzhou, China
国际会议
长春
英文
353-356
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）