An Approach to Reduce Speckle Noise in Ultrasound Images

Islam, Mohammod Amranul; Arman, Azwad; Farhan, Md. Soumik

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dc.contributor.author	Islam, Mohammod Amranul
dc.contributor.author	Arman, Azwad
dc.contributor.author	Farhan, Md. Soumik
dc.date.accessioned	2022-04-25T08:25:05Z
dc.date.available	2022-04-25T08:25:05Z
dc.date.issued	2015-11-15
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dc.identifier.uri	http://hdl.handle.net/123456789/1408
dc.description	Supervised by Md. Taslim Reza Assistant Professor, Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Organisation of Islamic Cooperation (OIC) Gazipur-1704, Dhaka, Bangladesh	en_US
dc.description.abstract	Medical Image processing is one of the most fundamental tool since the inception of medical science. For detecting and curing any disease, image processing in medical played a very vital role. Ultrasound imaging brought about a huge stepping stone for medical testing and in many other field. But image disturbance has been the most backtracking effect in this case. Speckle Noising is one of the key disturbances and many have dedicated their efforts for denoising this defect Our main area of concern is to reduce this noise up to a requisite amount so that the image can be used without any problem. In our approach we targeted the properties of Speckle Noise and tried different approaches to reduce overall noises. We used Empirical Mode Decomposition(EMD) algorithm to our data (US Image) and observed the effect of EMD on such Data. In our work we used .rf DATA. We used the combination of SRAD, Wavelet Transformation (Double Density Discrete WT) and EMD. Then with the resultant data, we compared the image with different comparative parameters like MSE, PSNR and also observed their effect on lesion segmentation. For segmentation purpose we used watershed and seed growing method and obtained the result	en_US
dc.language.iso	en	en_US
dc.publisher	Department of Electrical and Electronic Engineering, Islamic University of Technology (IUT), Board Bazar, Gazipur-1704, Bangladesh	en_US
dc.subject	Empirical Mode Decomposition (EMD), Speckle Reducing Anisotropic Diffusion (SRAD), Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Wavelet Transformation (Double Density Discrete WT), Ultrasound, Lesion segmentation.	en_US
dc.title	An Approach to Reduce Speckle Noise in Ultrasound Images	en_US
dc.type	Thesis	en_US