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Teeth Segmentation in Digitized Dental X-Ray Films using Mathematical Morphology

Research Authors
Eyad Haj Said, Diaa M. Nassar, G. Fahmy and Hany Ammar
Research Department
Research Year
2006
Research Journal
IEEE Transactions for security and information forensics, vol. 1, pp. 178-189, June 2006
Research Publisher
NULL
Research Vol
NULL
Research Rank
1
Research_Pages
NULL
Research Website
NULL
Research Abstract

Automating the process of postmortem identification
of individuals using dental records is receiving increased attention. Teeth segmentation from dental radiographic films is an essential step for achieving highly automated postmortem identification. In this paper, we offer a mathematical morphology approach
to the problem of teeth segmentation.We also propose a grayscale contrast stretching transformation to improve the performance of teeth segmentation. We compare and contrast our approach with other approaches proposed in the literature based on a theoretical and empirical basis. The results show that in addition to its capability of handling bitewing and periapical dental radiographic views, our approach exhibits the lowest failure rate among all approaches studied.