Affiliation:
1. Sri Sairam Engineering College, India
Abstract
Dental radiographs suffer frequently from issues such as low contrast and non-uniform illumination. The first step, indeed a significant step, is to enhance these digital images to prepare them for successful post-processing. This pre-processing stage assists to increase the contrast between the foreground that is the teeth and bone from the background regions. In this chapter, image enhancement methods based on spatial, frequency, and spatial-frequency are implemented. The dental radiographs used are available in the public database. The performance of the enhancement methods is validated using qualitative and quantitative measures. It is observed from the results that the enhancement method aids in improving dental features such as crowns, fillings, and bridges. This enables human identification and diagnostic purpose in the way it is possible to identify a variety of diseases. It also prevents the need for a remake, saving the patient from an additional treatment.
Reference43 articles.
1. An analysis of different image preprocessing techniques for determining the centroids of circular marks using hough transform
2. Preprocessing Techniques in Character Recognition
3. Performance Analysis of Various Techniques Applied in Human Identification Using Dental X-Rays
4. Bhat, M., & Patil, T. (2014, May). Adaptive clip limit for contrast limited adaptive histogram equalization (CLAHE) of medical images using least mean square algorithm. In Advanced Communication Control and Computing Technologies (ICACCCT), 2014 International Conference on (pp. 1259-1263). IEEE.
5. Chen, H., & Jain, A. K. (2005, January). Dental biometrics: Alignment and matching of dental radiographs. In Application of Computer Vision, 2005. WACV/MOTIONS'05 Volume 1. Seventh IEEE Workshops on (Vol. 1, pp. 316-321). IEEE.
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