An Automatic Segmentation Approach for Decayed Lesions in Dental X-rays

In Tooth MRI image, there are so many problem to detect damage area. Capping and RCT (Root Canal Treatment) is required for the damaged part and it is depend on the partition of tooth, which are crown, pulp and root. In this paper, Level Set method is more robust to initialization process, speedy and more accurate than the other known piecewise is smooth model. Level set techniques perform numerical calculations including bends and surfaces to catch dynamic interfaces and states of articles without the interest to parameterize the focuses on theories bends and sides In a level set formation, this criterion defines an energy in terms of the level set functions that perform a partition of the image territory and a bias field that accounts for the intensity inhomogeneity of the image. By this method, we can find decayed area in tooth for RCT process and by this we will go with either Capping or RCT.