DocumentCode :
2678680
Title :
The research of corner detector of teeth image based on the curvature scale space corner algorithm
Author :
Huanli Li ; Lihong Guo ; Tao Chen ; Limei Yang ; Xinzui Wang
Author_Institution :
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun, China
Volume :
5
fYear :
2010
fDate :
24-26 Aug. 2010
Firstpage :
353
Lastpage :
356
Abstract :
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.
Keywords :
curve fitting; dentistry; edge detection; endoscopes; image colour analysis; image denoising; image reconstruction; image segmentation; median filters; medical image processing; 3D reconstruction; CSS algorithm; Canny edge detector; adaptive threshold curvature scale corner detector; curvature scale space corner algorithm; image gray value; image noise removal; image segmentation; median filtering; morphology open operation; oral cavity endoscope; teeth image; Biomedical imaging; Image edge detection; Image reconstruction; canny edge detector; corner detector; curvature scale space;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
Type :
conf
DOI :
10.1109/CMCE.2010.5609958
Filename :
5609958
Link To Document :
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