  Image processing techniques has been widely used in dental researches such as
human identification and forensic dentistry, teeth numbering, dental carries
detection and periodontal disease analysis. One of the most challenging parts
in dental imaging is teeth segmentation and how to separate them from each
other. In this paper, an automated method for teeth segmentation of Periapical
dental x-ray images which contain at least one root-canalled tooth is proposed.
The result of this approach can be used as an initial step in bone lesion
detection. The proposed algorithm is made of two stages. The first stage is
pre-processing. The second and main part of this algorithm calculated rotation
degree and uses the integral projection method for tooth isolation.
Experimental results show that this algorithm is robust and achieves high
accuracy.
