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An Unsupervisory Qualitative Image Enhancement using Adaptive Morphological Bilateral Filter for Medical Images

by B. Sridhar, K. V. V. S. Reddy, A. M. Prasad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 99 - Number 13
Year of Publication: 2014
Authors: B. Sridhar, K. V. V. S. Reddy, A. M. Prasad
10.5120/17436-8237

B. Sridhar, K. V. V. S. Reddy, A. M. Prasad . An Unsupervisory Qualitative Image Enhancement using Adaptive Morphological Bilateral Filter for Medical Images. International Journal of Computer Applications. 99, 13 ( August 2014), 31-38. DOI=10.5120/17436-8237

@article{ 10.5120/17436-8237,
author = { B. Sridhar, K. V. V. S. Reddy, A. M. Prasad },
title = { An Unsupervisory Qualitative Image Enhancement using Adaptive Morphological Bilateral Filter for Medical Images },
journal = { International Journal of Computer Applications },
issue_date = { August 2014 },
volume = { 99 },
number = { 13 },
month = { August },
year = { 2014 },
issn = { 0975-8887 },
pages = { 31-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume99/number13/17436-8237/ },
doi = { 10.5120/17436-8237 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:28:08.460831+05:30
%A B. Sridhar
%A K. V. V. S. Reddy
%A A. M. Prasad
%T An Unsupervisory Qualitative Image Enhancement using Adaptive Morphological Bilateral Filter for Medical Images
%J International Journal of Computer Applications
%@ 0975-8887
%V 99
%N 13
%P 31-38
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Adaptive bilateral filter is able to smooth the noise, while enhancing edges and textures in the image. Morphology operations such as dilation, erosion, opening and closing are offering a quality Sharpening enhancement. The performance of the filter is to be improved by including the mathematical morphology operations along with adaptive bilateral filter process. The parameters of the Adaptive bilateral filter are optimized with a training procedure. Adaptive bilateral filter is removing noise from the images gives significantly sharper than those restored by the bilateral filter. The present proposed method is the modified algorithm of an adaptive bilateral filter with mathematical morphology operations for medical images. The proposed algorithm applied to various types of medical images and deserved results are obtained. The performance analysis of the filter with respective design parameters and metrics are compared with existed algorithm and relative graphs are depicted.

References
  1. Buyue Zhang, Jan P. Allebach 'Adaptive Bilateral Filter for Sharpness Enhancement and Noise Removal', IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 17, NO. 5, MAY 2008
  2. Alexander Wong, 'Adaptive bilateral filtering of image signals using local phase characteristics' Elsevier Signal Processing 88 (2008) 1615–1619
  3. Jinshan Tang, Shengwen Guo, Qingling Sun, Youping Deng, Dongfeng Zhou speckal noise reduction by bilateral filter BioComp 2009 Las Vegas, NV, USA. 13-16 July 2009
  4. Hyung W. Kang Charles K. Chui Uday K. Chakraborty 'A unified scheme for adaptive stroke-based Rendering' Visual Comput (2006) 22: 814–824
  5. Das and R. M. Rangayyan, "Enhancement of image edge sharpness and acutance," in Proc. SPIE, 1997, vol. 3026, pp. 133 – 142
  6. Yoshinori ITO, Takanori SATO, Noritaka YAMASHITA, Jianming LU, Hiroo SEKIYA and Takashi YAHAGI IEEE 4261 ISCAS 2006
  7. Xiaoping Lin 'Research and Application of Mathematical Morphology Algorithms' on OSSC IEEE- OSSC 2009 173Joseph M. Reinhardt and William E. Higgins 'Efficient Morphological Shape Representation' IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 5, NO. 1, JANUARY 1996 89
  8. Joseph M. Reinhardt and William E. Higgins 'Efficient Morphological Shape Representation' IEEE Transactions On Image Processing, Vol. 5, No. 1, January 1996 89.
  9. Patrick Guidotti • Kate Longo 'Two Enhanced Fourth Order Diffusion Models for Image Denoising' J Math Imaging Vis (2011) 40: 188–198
  10. S. Kim and J. P. Allebach, "Optimal unsharp mask for image sharpening and noise removal," J Electron Imaging, vol. 14, no. 2, pp. 023007–1 – 023007–13, 2005.
  11. . Rafael C. Gonzalez, Richard E. Woods and Steven L. Eddins (2004). ' Digital Image Processing using MATLAB. Pearson Education'ISBN 978-81-7758-898-9.
  12. B. Sridhar & Dr. K. V. V. S. Reddy 'Performance Evaluation of 2D Adaptive Bilateral Filter For Removal of Noise From Robust Images', International Journal of Image Processing (IJIP), Volume (7): Issue (1): 2013 8.
  13. Frank Y. Shih Vijayalakshmi Gaddipati, 'General sweep mathematical morphology' Pattern Recognition 36 (2003) 1489 – 1500.
  14. Jinshan Tang 'A multi-direction GVF snake for the segmentation of skin cancer images' Pattern Recognition 42 (2009) 1172 – 1179.
  15. Stelios Halkiotis 'Automatic detection of clustered micro calcifications' in digital mammograms using mathematical morphology and neural networks Signal Processing 87 (2007) 1559–1568.
  16. P. Salembier and J. Serra, 'Flat Zones Filtering, Connected Operators, and Filters by Reconstruction', IEEE TRANSACTIONS ON IMAGE PROCESSING, Vol. 4, NO. 8, AUGUST 1995.
  17. Ghassan Hamarneh and Judith Hradsky Bilateral Filtering of Diffusion Tensor Magnetic Resonance Images, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 16, NO. 10, OCTOBER 2007 2463.
  18. . Joseph M. Reinhardt, Efficient Morphological Shape Representation IEEE transactions on image processing, VOL. 5, NO. 1, JANUARY 1996 89.
  19. Berkman Sahiner, Computer-Aided Characterization of Mammographic Masses: Accuracy of Mass Segmentation and Its Effects on Characterization, IEEE transactions on medical imaging, VOL. 20, NO. 12, DECEMBER 2001 1275
  20. Zijuan Yu, Julian Zhao Research Advances and Prospects of Mathematical Morphology in Image Processing CIS 2008 1242
  21. Benoit Scherer Distributed Local MRF Models for Tissue and Structure Brain Segmentation IEEE transactions on medical imaging, VOL. 28, NO. 8, AUGUST 2009.
Index Terms

Computer Science
Information Sciences

Keywords

Medical images adaptive bilateral filtering mathematical morphology PSNR MSE stopping time

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