Hybrid approach for detection of dental caries based on the methods FCM and level sets
Marwa Chaabene, Ramzi Ben Ali, Ridha Ejbali, Mourad Zaied · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2017
This paper presents a new technique for detection of dental caries that is a bacterial disease that destroys the tooth structure. In our approach, we have achieved a new segmentation method that combines the advantages of fuzzy C mean algorithm and level set method. The results obtained by the FCM algorithm will be used by Level sets algorithm to reduce the influence of the noise effect on the working of each of these algorithms, to facilitate level sets manipulation and to lead to more robust segmentation. The sensitivity and specificity confirm the effectiveness of proposed method for caries detection.