Dental x-ray image segmentation and object detection based on phase congruency

Authors:
F. Sattar;F. O. Karray
Affiliations:
Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada;Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
Venue:
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part II
Year:
2012

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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.