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