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Published in:
2013 | OriginalPaper | Chapter
An Adaptive Enhancement of X-Ray Images
Authors : Veska Georgieva, Roumen Kountchev, Ivo Draganov
Published in: Advances in Intelligent Analysis of Medical Data and Decision Support Systems
Publisher: Springer International Publishing
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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.