DocumentCode :
3324651
Title :
Dental plaque quantification using mean-shift-based image segmentation
Author :
Kang, Jiayin ; Ji, Zhicheng
Author_Institution :
Sch. of Commun. & Control Eng., Jiangnan Univ., Wuxi, China
Volume :
1
fYear :
2010
fDate :
5-7 May 2010
Firstpage :
470
Lastpage :
473
Abstract :
There is need to quantify the dental plaque in order to keep fit and prevent occurrence from vital diseases. Dental plaque quantification is very crucial to patients, dentists as well as researchers. This paper presented a method to automatically quantifying the dental plaque in digital tooth images using mean shift. The proposed approach was applied to a clinical database consisting of 30 objects. The experimental results show that the proposed method provided accurately quantitative measurement of dental plaque compared with that of traditional manual measurement indices of dental plaque.
Keywords :
computer vision; diseases; feature extraction; image segmentation; medical image processing; nonparametric statistics; pattern clustering; clinical database; dental plaque; digital tooth image; mean shift based image segmentation; quantitative measurement; vital disease; Automatic control; Automation; Communication system control; Control engineering; Dentistry; Diseases; Image analysis; Image segmentation; Kernel; Teeth; dental plaque; image segmentation; mean shift; quantification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
Type :
conf
DOI :
10.1109/3CA.2010.5533758
Filename :
5533758
Link To Document :
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