An application of dental X-ray image enhancement

In this paper, an effective approach for dental X-ray image enhancement for detection of caries on the base of location of the lesion is presented. It consists of contrast improvement by limited adaptive histogram equalization (CLAHE) and morphological processing. Then homomorphic wavelet filter is used to remove noise components and to eliminate non-uniformity luminance distribution. Comparative experimental results are given which show the visual quality and effectiveness of the proposed approach for application in clinical diagnostics.