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Proceedings Paper

Hybrid approach for detection of dental caries based on the methods FCM and level sets
Author(s): Marwa Chaabene; Ramzi Ben Ali; Ridha Ejbali; Mourad Zaied
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Paper 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.

Paper Details

Date Published: 17 March 2017
PDF: 5 pages
Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 103411V (17 March 2017); doi: 10.1117/12.2268437
Show Author Affiliations
Marwa Chaabene, Univ. of Gabès (Tunisia)
Ramzi Ben Ali, Research Groups in Intelligent Machines (Tunisia)
Ridha Ejbali, Research Groups in Intelligent Machines (Tunisia)
Mourad Zaied, Research Groups in Intelligent Machines (Tunisia)


Published in SPIE Proceedings Vol. 10341:
Ninth International Conference on Machine Vision (ICMV 2016)
Antanas Verikas; Petia Radeva; Dmitry P. Nikolaev; Wei Zhang; Jianhong Zhou, Editor(s)

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