Segmentation and quantification of dental plaque using modified kernelized fuzzy C-means clustering algorithm

This paper presented an approach for automatically quantifying the dental plaque based on modified kernelized fuzzy c-means. The proposed approach was applied to a clinical database consisting of 30 objects. The experimental results show that the proposed method provids accurate quantitative measurement of dental plaque compared with that of traditional manual measurement indices of the dental plaque.