Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper


March Edition 2023

International Journal of Applied Information Systems solicits high quality original research papers for the March 2023 Edition of the journal. The last date of research paper submission is February 15, 2023.

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

Gnanambal Ilango, B. Shanthi Gowri Published in Image Processing

International Journal of Applied Information Systems
Year of Publication: 2012
© 2012 by IJAIS Journal
Download full text
  1. Gnanambal Ilango and Shanthi B Gowri. Article: h - Neighbourhood Median Filters to Remove Speckle Noise from CT Images. International Journal of Applied Information Systems 4(10):40-46, December 2012. BibTeX

    	author = "Gnanambal Ilango and B. Shanthi Gowri",
    	title = "Article: h - Neighbourhood Median Filters to Remove Speckle Noise from CT  Images",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 4,
    	number = 10,
    	pages = "40-46",
    	month = "December",
    	note = "Published by Foundation of Computer Science, New York, USA"


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).


  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.


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