08Sep 2018

NOISE REDUCTION IN MEDICAL IMAGES USING ADAPTIVE WEIGHTED MEDIAN FILTER BASED ON BACK PROPAGATION NEURAL NETWORK.

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A novel Adaptive Weighted Median Filter Based on Back Propagation Neural Network (AWM/BPNN) filter is proposed for reducing noise in medical images and improving the performance of median-based filters. The proposed filter achieves its effect through the linear combinations of the median based filters and neural network technique. In this proposed system is a three-stage process. In the first stage, the adaptive technique is used to determine whether the pixel is corrupted or uncorrupted. In the second stage, the weights of the Weighted Median (WM) filter are calculated by using Back Propagation Neural Network (BPNN) algorithm. In the final stage, the corrupted pixel value is replaced by the weighted median value. The visual and performance metrics show that the proposed filter outperforms many of the standard median filters in terms of noise removal with edge preservation.

  1. Kalra MK, Naz N, Rizzo SM, Blake MA. Computed tomography radiation dose optimization: scanning protocols and clinical applications of automatic exposure control. Curr Probl Diagn Radiol 2005; 34:171?181.
  2. Shanmugavadivu P and Eliahim Jeevaraj P S ?Adaptive Pde-Based Median Filter For The Restoration Of High-Density Impulse Noise Corrupted Images? International Journal of Advanced Information Technology (IJAIT) Vol. 1, No.6, December 2011.
  3. http://www.generation5.org/content/2002/bp.asp
  4. Kowalski, T. Kacprzak "Cellular neural network based weighted median filter for real time image processing" Proceedings 2001 International Conference on Image Processing, ISBN: 0-7803-6725-1.
  5. Feras N. Hasoon, Jabar H. Yousif, Nebras N.Hasson and Abd Rahman Ramli ? Image Enhancement Using Nonlinear Filtering Based Neural Network? Journal Of Computing, May 2011.
  6. J, Pusateri. M, ?High Speed Pipelined Architecture for Adaptive Median Filter,? Applied Imagery Pattern Recognition Workshop (AIPR), 2010, IEEE.
  7. Asmatullah,anwar.M.Mirza,and asifullah Khan,? Blind Image Restoration using Multilayer Back Propagation?, Proceedings of the International Multi-topic (INMIC 2003),IEEE Conference,Islamabad,pp.55-58,December 2003.
  8. LI Lin-lin,WANG Chang-you,YANG Fu-ping,GONG Hui ?A new kind of adaptive weighted median filter algorithm? 2010 International Conference on Computer Application and System Modeling (ICCASM 2010).
  9. Um a Maheshwari , G.B. Vanisree , Dr. D. Ebeneze r "PERFORMANCE OF SEVERAL TYPES OF MEDIAN FILTERS IN SPECTRAL DOMAIN" springer,Intelligent Information Processing II ,2017.
  10. Feras N. Hasoon, Jabar H. Yousif, Nebras N.Hasson and Abd Rahman Ramli ? Image Enhancement Using Nonlinear Filtering Based Neural Network? Journal Of Computing, May 2011.
  11. Suganya C., Dr. O. Umamaheswari,?Image Restoration Using Noise Adaptive Fuzzy Switching Weighted Median Filter for the Removal of Impulse Noise?IEEE.
  12. Mitsuji Muneyasu, Taltahiro Mae& a,nd Taltao Hinainoto ?A New Realization of Adaptive Weighted Median Filters Using Counter Propagation Networks? 1999 IEEE.
  13. Montreal, Canada, ?Pattern classification by Assembling small Neural networks? IEEE Proceedings of International Joint conference on Neural networks, july 31-August4, 2005.
  14. Wang, A.C. Bovik, H.R. Sheikh, E.P. Simoncelli, Image quality assessment: from error visibility to structural similarity, IEEE Transaction on Image Processing vol. 13, No. 4 , April 2004, pp.600-611.
  15. Debdoot Sheet, Santanu ParI, Arindam Chakraborty , Jyotirmoy Chatterjee and Ajoy K. Ray t ?Visual Importance Pooling for Image Quality Assessment of Despeckle Filters in Optical Coherence Tomography? 2010, IEEE.
  16. S. Bhadouria, D. Ghoshal, A.H. Siddiqui, A new approach for high density saturated impulse noise removal using decision-based coupled window median filter. SIViP 8(1), 71?84 (2014).
  17. M.R. Afzal, J. Yu, Y. Kang, Impulse noise removal using fuzzy logics. IEEE Annual Academic Conference of Chinese Association of Automation 32, 413?418 (2017).

[Umamaheswari. J. (2018); NOISE REDUCTION IN MEDICAL IMAGES USING ADAPTIVE WEIGHTED MEDIAN FILTER BASED ON BACK PROPAGATION NEURAL NETWORK. Int. J. of Adv. Res. 6 (Sep). 34-40] (ISSN 2320-5407). www.journalijar.com

Dr.J. Umamaheswari
Nethaji Subash Chandra Bose College of science

DOI:

Article DOI: 10.21474/IJAR01/7642      
DOI URL: http://dx.doi.org/10.21474/IJAR01/7642

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