Automated dental identification system (ADIS)
dg.o '07 Proceedings of the 8th annual international conference on Digital government research: bridging disciplines & domains
Effective Segmentation for Dental X-Ray Images Using Texture-Based Fuzzy Inference System
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Towards Automatic Image Segmentation Using Optimised Region Growing Technique
AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence
Retrieving dental radiographs for post-mortem identification
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Multi-object segmentation approach based on topological derivative and level set method
Integrated Computer-Aided Engineering
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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.