Adaptive Fuzzy Based Nonlinear Filter For De-speckling Ultrasound Images

Saranya. B.S*, Ramya, A**, M. Kowar***
*-** Research Scholar, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.
*** Professor, Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli, Tamil Nadu, India.
Periodicity:December - February'2018


Medical image processing is used for analyzing medical images, quantitatively. There exists many medical image modalities like Magnetic Resonance Images (MRI), Computed Tomography (CT), Ultrasound (US), etc. Among them, Ultrasound is a conventional device still practiced in medical field. The Ultrasonic image obtained from US devices is often degraded by the speckle noise. Speckle noise degrades the original image quality; so it needs an efficient denoising for despecklng it. Hence, the authors have found a non-linear denoising filter to remove the speckle noise effectively. In this paper, adaptive fuzzy based non- linear filter has been applied to various ultrasound images which got corrupted with the speckle noise. Experimental results are achieved by calculating the performance metrics such as Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR) and Signal-to-Noise Ratio (SNR), that shows the workability of the proposed approach. These results are also compared with other median based denoising filters by analytical proportion.


Despeckling , Fuzzy, Ultrasonic Images, Denoising.

How to Cite this Article?

Saranya, B.S., Ramya, A., and Murugan, D. (2018). Adaptive Fuzzy Based Nonlinear Filter for Despeckling Ultrasound Images. i-manager’s Journal on Computer Science, 5(4), 1-6.


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