Hybrid approach for detection of dental caries based on the methods FCM and level sets

Marwa Chaabene; Ramzi Ben Ali; Ridha Ejbali; Mourad Zaied

doi:10.1117/12.2268437

17 March 2017 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 Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 103411V (2017) https://doi.org/10.1117/12.2268437
Event: Ninth International Conference on Machine Vision, 2016, Nice, France

Abstract

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.

Citation Download Citation

Marwa Chaabene, Ramzi Ben Ali, Ridha Ejbali, and Mourad Zaied "Hybrid approach for detection of dental caries based on the methods FCM and level sets", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411V (17 March 2017); https://doi.org/10.1117/12.2268437

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available