An Adaptive Enhancement of X-Ray Images
Most of the X-ray images are no truly isotropic and its quality varies depending on penetration of X-rays in different anatomical structures and on the technologies of their obtaining. The noise problem arises from the fundamentally statistical nature of photon production. This paper presents an approach for X-ray image enhancement based on contrast limited adaptive histogram equalization (CLAHE), following by morphological processing and noise reduction, based on the Wavelet Packet Decomposition and adaptive threshold of wavelet coefficients in the high frequency sub-bands of the shrinkage decomposition. Implementation results are given to demonstrate the visual quality and to analyze some objective estimation parameters in the perspective of clinical diagnosis.
KeywordsX-ray images CLAHE Noise reduction Wavelet Transformations
Unable to display preview. Download preview PDF.
- 1.Smith, M., Docef, A.: Transforms in telemedicine applications. Kluwer Academic Publishers (1999)Google Scholar
- 2.Parven, N.R., Sathik, M.: Enhancement of bone fracture by equalization methods. In: Proc. of the Conference on Computer Technology and Development, pp. 391–394. IEEE Xplore Press, Kota Kinabalu (2009)Google Scholar
- 4.Georgieva, V.: Computed Tomography Images Enhancement with Morphology- based Filters. Proceedings of TU-Sofia 58(1), 128–134 (2008)Google Scholar
- 5.Xu, Z., Lin, X., Chen, X.: For removal from video sequences using contrast limited histogram equalization. In: Proceedings of the International Conference on Computational Intelligence and Software Engineering, pp. 1–4. IEEE Xplore Press, Wuhan (2009)Google Scholar
- 8.Georgieva, V., Kountchev, R.: An influence of the wavelet packet decomposition on noise reduction in ultrasound images. In: Proceedings of International Scientific Conference on Information, Communication and Energy Systems and Technology, Sofia, Bulgaria, pp. 185–188 (2006)Google Scholar
- 9.MATLAB User’s Guide, http://www.mathworks.com