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(b) Original Image 2
(a) Original Image 1
(c) Teeth Position in Figure 1 (d) Teeth Position in Figure 2
Fig. 8.
Experiment Result
4
Conclusion
This article has put forward the teeth position detection algorithm for facial X-ray
images based on wavelet transform and edge detection. In this algorithm, the facial X-
ray image is projected horizontally; then the upper and lower boundaries of the teeth
position is defined by analyzing the projection data with wavelet transform. After
that, a narrow zone near the boundary is detected by edge detection method; the ob-
tained edge image is projected vertically; then a threshold algorithm is designed to
obtain the left and right boundaries of the teeth position. Through the horizontal and
vertical processing, the teeth position in the facial X-ray image is defined. Compared
with other algorithms, this algorithm to extract the teeth parts is more accurate, at the
same time of reducing redundant information, it make the matching more effectively,
and the method is simple, easy to implement. Plenty of simulation experiments have
verified the accuracy and validity of this algorithm.
References
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