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