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Number 10

Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images

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  • Gnanambal Ilango and B. Shanthi Gowri 2012. Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images. International Journal of Applied Information Systems. 4, 10 (December 2012), 40-46. DOI=http://dx.doi.org/10.5120/ijais450829 
  • @article{10.5120/ijais2017451568,
author = {Gnanambal Ilango and B. Shanthi Gowri},
title = {Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images},
journal = {International Journal of Applied Information Systems},
issue_date = {December 2012},
volume = {4},
number = {},
month = {December},
year = {2012},
issn = {},
pages = {40-46},
numpages = {},
url = {/archives/volume4/number10/398-0829},
doi = { 10.5120/ijais12-450829},
publisher = { xA9 2012 by IJAIS Journal},
address = {}
}

  • %1 450829
%A Gnanambal Ilango
%A B.  Shanthi Gowri
%T Ɛ - Neighbourhood Median Filters to Remove Speckle Noise from CT – Images
%J International Journal of Applied Information Systems
%@ 
%V 4
%N 
%P 40-46
%D 2012
%I  xA9 2012 by IJAIS Journal

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

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Keywords

Metric topological neighbourhood, CT images, speckle noise, RMSE, PSNR

Index Terms

Computer Science
Information Sciences