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.

[1]  Tinsu Pan,et al.  Fundamentals of Medical Imaging , 2010, The Journal of Nuclear Medicine.

[2]  Jean Serra,et al.  Image Analysis and Mathematical Morphology , 1983 .

[3]  P. Massart,et al.  From Model Selection to Adaptive Estimation , 1997 .

[4]  Rohit S. Kabade,et al.  Image Deblurring and Restoration using Wavelet Transform , 2016 .

[5]  Savita Gupta,et al.  Image Denoising Using Wavelet Thresholding , 2002, ICVGIP.

[6]  Halit Cetiner,et al.  Classification of Knot Defect Types Using Wavelets and KNN , 2016 .

[7]  Mohd Nasir Taib,et al.  Performance of Compound Enhancement Algorithms on Dental Radiograph Images , 2011 .

[8]  P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .

[9]  Jan Nordin,et al.  Improving Diagnostic Viewing of Medical Images using Enhancement Algorithms , 2011 .

[10]  S. Nagy,et al.  Topology analysis of scanning microscope images with structural entropy and discrete wavelet transform , 2011, 2011 18th International Conference on Systems, Signals and Image Processing.

[11]  Martin Vetterli,et al.  Adaptive wavelet thresholding for image denoising and compression , 2000, IEEE Trans. Image Process..

[12]  M. Taib,et al.  An Analysis of Image Enhancement Techniques for Dental X-ray Image Interpretation , 2012 .

[13]  Pramana Yoga Saputra,et al.  DENTAL BITEWING X-RAY IMAGE SEGMENTATION FOR DETERMINING THE TYPES OF TEETH , 2010 .

[14]  Dong Kyun Lim,et al.  A Novel Method of Determining Parameters of CLAHE Based on Image Entropy , 2013 .

[15]  S. Arumuga Perumal,et al.  Contrast Improvement of Radiographic Images in Spatial Domain by Edge Preserving Filters , 2010 .

[16]  K. Kamburoğlu,et al.  Diagnostic accuracy of different imaging modalities in detection of proximal caries. , 2010, Dento maxillo facial radiology.

[17]  M W Vannier,et al.  Fast iterative algorithm for metal artifact reduction in X-ray CT. , 2000, Academic radiology.