Abstract
Dental radiographs are essential in oral diagnostic procedures. This paper presents a new method for segmentation and object detection of dental radiograph images based on phase congruency. This phase congruency based approach provides local image structure and is invariant to image scaling, rotation, translation, variable lightning conditions, as well as process noise. Comparative experimental results and quantitative measures show the effectiveness of the proposed approach. © 2012 Springer-Verlag.
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CITATION STYLE
Sattar, F., & Karray, F. O. (2012). Dental X-ray image segmentation and object detection based on phase congruency. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7325 LNCS, pp. 172–179). https://doi.org/10.1007/978-3-642-31298-4_21
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