Other Articles by Author(s)

Ognjen Magud
Eva Tuba
Nebojsa Bacanin

Author(s) and WSEAS

Ognjen Magud
Eva Tuba
Nebojsa Bacanin

WSEAS Transactions on Biology and Biomedicine

Print ISSN: 1109-9518
E-ISSN: 2224-2902

Volume 14, 2017

Notice: As of 2014 and for the forthcoming years, the publication frequency/periodicity of WSEAS Journals is adapted to the 'continuously updated' model. What this means is that instead of being separated into issues, new papers will be added on a continuous basis, allowing a more regular flow and shorter publication times. The papers will appear in reverse order, therefore the most recent one will be on top.

Medical Ultrasound Image Speckle Noise Reduction by Adaptive Median Filter

AUTHORS: Ognjen Magud, Eva Tuba, Nebojsa Bacanin

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ABSTRACT: Medical ultrasound is a powerful nonivasive diagnostics tool. Due to physical factors of the diagnostics system, ultrasound generated images usually contain some noise where specle noise is often a prominent component. In this paper we propose an adaptive median filter with adaptive window size for removing speckle noise from ultrasound medical images, including the case when spots are larger than one pixel. Our proposed algorithm was tested on different ultrasound images and different evaluation metrics including mean square error, peak signal to ratio, normalized cross correlation, average difference, structural content, maximum difference, normalized absolute error and image enhancement factor were used as measure of the quality of noise removal. All these metrics have shown that the proposed method was successful.

KEYWORDS: Ultrasound medical images, speckle noise, denoising, median filter


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WSEAS Transactions on Biology and Biomedicine, ISSN / E-ISSN: 1109-9518 / 2224-2902, Volume 14, 2017, Art. #6, pp. 38-46

Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0

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