JOURNAL ARTICLE

Dental plaque quantification using mean-shift-based image segmentation

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:
Dental plaque Computer science Segmentation Artificial intelligence Computer vision Image segmentation Dentistry Pattern recognition (psychology) Medicine

Metrics

13
Cited By
0.64
FWCI (Field Weighted Citation Impact)
9
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
AI in cancer detection
Physical Sciences →  Computer Science →  Artificial Intelligence
Dental Radiography and Imaging
Health Sciences →  Dentistry →  Oral Surgery
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