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Reseach Article

h - Neighbourhood Median Filters to Remove Speckle Noise from CT � Images

by Gnanambal Ilango, B. Shanthi Gowri
International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 4 - Number 10
Year of Publication: 2012
Authors: Gnanambal Ilango, B. Shanthi Gowri
10.5120/ijais12-450829

Gnanambal Ilango, B. Shanthi Gowri . h - Neighbourhood Median Filters to Remove Speckle Noise from CT � Images. International Journal of Applied Information Systems. 4, 10 ( December 2012), 40-46. DOI=10.5120/ijais12-450829

@article{ 10.5120/ijais12-450829,
author = { Gnanambal Ilango, B. Shanthi Gowri },
title = { h - Neighbourhood Median Filters to Remove Speckle Noise from CT � Images },
journal = { International Journal of Applied Information Systems },
issue_date = { December 2012 },
volume = { 4 },
number = { 10 },
month = { December },
year = { 2012 },
issn = { 2249-0868 },
pages = { 40-46 },
numpages = {9},
url = { https://www.ijais.org/archives/volume4/number10/398-0829/ },
doi = { 10.5120/ijais12-450829 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T10:48:06.811040+05:30
%A Gnanambal Ilango
%A B. Shanthi Gowri
%T h - Neighbourhood Median Filters to Remove Speckle Noise from CT � Images
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 4
%N 10
%P 40-46
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Removal of noise from the medical images is very challenging in image processing. In recent years, technological development has improved significantly in analyzing medical imaging. This paper proposes different filtering techniques for the removal of speckle noise from CT medical images by topological approach. The filters are constructed based on metric topological neighbourhood. The quality of the enhanced images is measured by the statistical quality measures: Root Mean Square Error (RMSE) and Peak Signal to Noise Ratio (PSNR).

References
  1. J. W. Turkey, 1974. Nonlinear (nonsuperposable) methods for smoothing data, Proc. Congr. Rec. EASCOM'74, 673-681.
  2. S. Sudha, G. R. Suresh and R. Sukanesh, 2009. Speckle noise reduction in Ultrasound Images by Wavelet thresholding based on Weighted variance, International Journal of Comp. Theory and Engg, No. 1, 7-12.
  3. Mamta Juneja and Rajni Mohana, 2009. An improved Adaptive Median Filtering Method for Impulse Noise Detection, International Journal of Recent Trends in Engineering, No. 1, 274-278.
  4. K. Thangavel, R. Manavalan, and I. Laurence Aroquiaraj, 2009. Removal of Speckle noise from Ultrasound Medical Image based on Special Filters: Comparative Study, International Conference on Graphics, Vision and Image Processing, 25-32.
  5. Gnanambal Ilango and R. Marudhachalam, 2011. New hybrid filtering techniques for removal of speckle noise from ultrasound medical images, Scientia Magna, vol. 7, No. 1, 38-53.
  6. R. Marudhachalam and Gnanambal Ilango, 2011. Center Weighted Hybrid Filtering Techniques for denoising of medical images, World Congress on Engineering and Technology, 542-545.
  7. James R. Munkres, 2007. Topology, Prentice-Hall of India.
  8. R. Gonzalez and R. Woods, 1992. Digital Image Processing, Adison-Wesley, New York.
  9. R. Klette and A. Rosenfeld, 2004. Digital Geometry, Kaufmann, San Francisco.
Index Terms

Computer Science
Information Sciences

Keywords

Metric topological neighbourhood CT images speckle noise RMSE PSNR