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

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.

[1]  J. Sethian.  Level set methods : evolving interfaces in geometry, fluid mechanics, computer vision, and materials science , 1996 .

[2]  Laurent D. Cohen,et al.  Nonlocal Active Contours , 2012, SIAM J. Imaging Sci..

[3]  A. Taher.  Unsupervised cooperative partitioning approach of hyperspectral images for decision making , 2014 .

[4]  Daniel Cremers,et al.  Image Segmentation with Shape Priors: Explicit Versus Implicit Representations , 2015, Handbook of Mathematical Methods in Imaging.

[5]  Ron Kimmel,et al.  Multi-Region Active Contours with a Single Level Set Function , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Vladimir Sabelnikov,et al.  Modified level set equation and its numerical assessment , 2014, J. Comput. Phys..

[7]  P. Baraldi,et al.  Unsupervised clustering for fault diagnosis , 2012, Proceedings of the IEEE 2012 Prognostics and System Health Management Conference (PHM-2012 Beijing).

[8]  J. Sethian,et al.  Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations , 1988 .

[9]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Mourad Zaied,et al.  GPU-based segmentation of dental X-ray images using active contours without edges , 2015, 2015 15th International Conference on Intelligent Systems Design and Applications (ISDA).

[11]  Mourad Zaied,et al.  Detection and Classification of Dental Caries in X-ray Images Using Deep Neural Networks , 2016, ICSEA 2016.

[12]  Sim Heng Ong,et al.  Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation , 2011, Comput. Biol. Medicine.

[13]  J A Sethian,et al.  A fast marching level set method for monotonically advancing fronts. , 1996, Proceedings of the National Academy of Sciences of the United States of America.