DocumentCode :
1847701
Title :
Dental contour extraction using window empirical mode decomposition
Author :
Wei Liu ; Guoxia Sun ; Huiqiang Sun ; Hui Li
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan, China
Volume :
2
fYear :
2012
fDate :
21-25 Oct. 2012
Firstpage :
847
Lastpage :
850
Abstract :
Medical images with fuzzy and non-uniform characteristics make it difficult to accurately extract target contour, aiming at this problem, an improved method is proposed to detect the dental contour of a single-teeth X-ray film segmented from a bitewing radiograph. Three necessary steps are to be performed, the first of which is to enhance the contrast of the medical X-ray image based on human visual properties after denoised with morphology open-close filter, the second to get the first intrinsic mode function from the empirical mode decomposition with a square-adaptive sliding window of the enhanced image, and the third to detect and threshold the edge of the intrinsic mode function. Some results of experiments have confirmed the efficiency of our proposed method.
Keywords :
feature extraction; image denoising; image enhancement; image segmentation; medical image processing; X-ray film; bitewing radiograph; dental contour extraction; human visual properties; medical X-ray image; medical images; morphology open-close filter; square-adaptive sliding window; target contour; window empirical mode decomposition; dental contour extraction; empirical mode decomposition; intrinsic mode function; medical image enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2012 IEEE 11th International Conference on
Conference_Location :
Beijing
ISSN :
2164-5221
Print_ISBN :
978-1-4673-2196-9
Type :
conf
DOI :
10.1109/ICoSP.2012.6491713
Filename :
6491713
Link To Document :
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