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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
10.5120/ijais12-450829
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  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

    @article{key:article,
    	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"
    }
    

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).

Reference

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Keywords

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