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http://dx.doi.org/10.5391/JKIIS.2014.24.4.372

A Multi Resolution Based Guided Filter Using Fuzzy Logic for X-Ray Medical Images  

Ko, Seung-Hyun (Nanofocusray Co. Ltd.)
Pant, Suresh Raj (Dept. of Computer Engineering, Chonbuk National University)
Lee, Joonwhoan (Dept. of Computer Engineering, Chonbuk National University)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.24, no.4, 2014 , pp. 372-378 More about this Journal
Abstract
Noise in biomedical X-ray image degrades the quality so that it might causes to decrease the accuracy of diagnosis. Especially the noise reduction techniques is quite essential for low-dose biomedical X-ray images obtained from low radiation power in order to protect patients, because their noise level is usually high to well discriminate objects. This paper proposes an efficient method to remove the noise in low-dose X-ray images while preserving the edges with diverse resolutions. In the proposed method, a noisy image is at first decomposed into several images with different resolutions in pyramidal representation, then the stable map of edge confidence is obtained from each of analyzed image using a fuzzy logic-based edge detector. This map is used to adaptively determine the parameter for guided filters, which eliminate the noise while preserving edges in the corresponding image. The filtered images in the pyramid are extended and synthesized into a resulted image using interpolation technique. The superiority of proposed method compared to the median, bilateral, and guided filters has been experimentally shown in terms of noise removal and edge preserving properties.
Keywords
Noise Reduction Techniques; Pyramidal Representation; Edge Detector; Guided Filters; Interpolation Technique;
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1 Hamid Soltanian-Zadeh, Joe P. Windham, and Andrew E. Yagle, "A multidimensional nonlinear edge-preserving filter for magnetic resonance image restoration," IEEE Transactions on Image Processing, Vol. 4, No. 2, pp. 147-161, 1995.   DOI
2 Edward H. Andelson, Eero P. Simoncelli and William T. Freeman, "Phyramids and multiscale representations," M.I.T. Media Lab Vision and Modeling Group Technical Report No. 155, 1991.
3 Peter Burt, and Edward Adelson, "The Laplacian pyramid as a compact image code," IEEE Transactions on Communications, Vol. 31, No. 4, pp. 532-540, 1983.   DOI
4 Cuong Cao Pham, Synh Viet Uyen Ha, and Jae Wook Jeon, "Adaptive guided image filtering for sharpness enhancement and noise reduction," PSIVT 2011 Part I pp. 323-334, LNCS 7087, 2011.
5 Thomas M. Lehmann, Claudia Gonner, and Klaus Spitzer, "Survey: Interpolation Methods in Medical Image Processing," IEEE Trans. on Medical Imaging, Vol. 18, No. 11, pp. 1049-1075, Nov. 1999.   DOI   ScienceOn
6 Zhiwei Tang, and Guangshu Hu, "Development of a Multiscale Noise Reduction Algorithm for Cone-beam Micro-CT Using Fuzzy Logic-Based Anisotropic Filter," J. Med. Biol. Eng., Vol. 30. No. 5, pp. 283-288, 2010   DOI
7 George J. Klir, and Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice-Hall, May 1995.
8 Chi-Sun Joung, Chang-Bong Ban and Kwee-Bo Sim, "Learning of Rules for Edge Detection of Image using Fuzzy Classifier System," Korean Institute of Intelligent Systems, Vol. 10, No. 3, pp. 252-295, 2000.   과학기술학회마을
9 Rafael C. Gonzalez and Richard E. Woods, Digital Image Processing, Prentice Hall; 3 edition, Aug. 2007.
10 Jacob Beutel, Handbook of Medical Imaging: Medical image processing and analysis, SPIE Press, Jan. 2000.
11 W. Wong, and A. Chung, "Trilateral filtering: a non-linear noise reduction technique for MRI," Proc. Intl. Soc. Mag. Reson. Med., Vol. 11, pp. 2218, 2004.
12 Pietro Perona, and Jitendra Malik, "Scale-space and edge detection using anisotropic diffusion," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 12, No. 7, pp. 629-639, 1990.   DOI   ScienceOn
13 Alexei A. Samsonov, and Johnson Chris R., "Noise adaptive nonlinear diffusion filtering of MR images with spatially varying noise levels," Magnetic Resonance in Medicine, Vol. 52, No. 4, pp. 798-806, 2004.   DOI
14 Carlo Tomasi, and Roberto Manduchi, "Bilateral filtering for gray and color images," Proceedings of IEEE Sixth International Conference on Computer Vision, Bombay India, 1998.
15 Kaiming He, Jian Sun, and Xiaoou Tang, "Guided image filtering," Proceedings of the 11th ECCV, Part I, pp. 1-14, Springer Berlin Heidelberg, 2010.
16 B. K. Shreyamsha Kumar, "Image denoising based on non-local means filter and its method noise thresholding," Signal, Image and Video Processing, Vol. 7(6), pp. 1211-1227 Nov. 2013.   DOI
17 Xu, Yansun, John B. Weaver, Dennis M. Healy, Jr., and Jian Lu, "Wavelet transform domain filters: a spatially selective noise filtration technique," IEEE Transactions on Image Processing, Vol. 3, No. 6, pp. 747-758 1994.   DOI   ScienceOn
18 S. Grace Chang, Bin Yu, and Martin Vetterli, "Adaptive wavelet thresholding for image denoising and compression," IEEE Transactions on Image Processing, Vol. 9, No. 9 pp. 1532-1546, 2000.   DOI   ScienceOn