Thursday 25th of April 2024
 

Effect of Wiener-Helstrom Filtering Cascaded with Bacterial Foraging Optimization to Despeckle the Ultrasound Images


Rajeshwar Dass, Swapna Devi and Priyanka

The diagnosing of disease using speckled ultrasound image is a very difficult task for doctors. The speckle noise not only hinders the visual information but also affect the segmentation process used in ultrasound image processing. Thus speckle noise suppression is necessary pre-processing task in order to maintain the diagnostic potential of ultrasound imaging. This paper proposes an efficient technique for speckle noise removal. The proposed technique is implemented using Bacterial Foraging Optimization (BFO) cascaded with Wiener-Helstrom filter. Wiener-Helstrom filter processes the ultrasound image by making the filtering less sensitive to slight changes in input conditions. BFO algorithm used as an optimization technique to minimize the error between the noisy image and the Wiener-Helstrom filter output image. The error percentage of 0.0001 is maintained here. It has been observed by the experimental results that the proposed method outperform and gives superior result to conventional methods. The efficiency is measured in the form of Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE) and Mean Absolute Error(MAE) and Signal to Mean Square error(S/MSE).

Keywords: Speckle noise, Wiener-Helstrom filter, BFO, PSNR, MSE, MAE S/MSE

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ABOUT THE AUTHORS

Rajeshwar Dass
Rajeshwar received M.E Degree in Electronics & Communication Engineering from National Institute of Technical Teachers Training and Research Center(NITTTR) Chandigarh in the year 2007. B.E(Honors) degree in electronics & Communication Engineering from Apeejay College of Engineering Sohna Gurgaon (Affiliated to M.D.U Rohtak) in 2004. He is pursuing his Ph.D from D.C.R.U.S.T Murthal(HR) India. In August 2004 he joined Department of Electronics & Communication Engineering of Apeejay College of Engineering Sohna Gurgaon. He joined Department of Electronics & Communication Engineering of Deenbandhu Chhotu Ram University of Science and Technology(D.C.R.U.S.T) Murthal Sonepat(India) as Assistant Professor in October 2008. His interest includes Medical Image Processing, Neural Network, Wireless Communication and Soft Computing Techniques. He has contributed 16 technical papers in International Journals and Conferences. He has written a book on wireless communication. He is a member of IEEE(92061144).

Swapna Devi
Swapna Devi received Ph.D in Engineering from Tejpur University in the year 2008. M.E Degree from Regional Engineering College (Presently NIT) Raurkala, Orisa in 1997. B.Tech. Degree in Electronics, & Communication Engineering Arunachal Pradesh, in 1994. She joined the Department of Radiology, University of Utah as Research Assistant. On return to India, she joined NERIST, India as a lecturer in Department of Electronics & Communication Engineering and subsequently became a faculty in the Department of Computer Science and Engg. In the same institute in 1999. Presently she is an Associate Professor in Department of electronics and communication Engg. of National Institute of Technical Teachers Training and Research Center(NITTTR) Chandigarh. Her interests include Medical Image Processing and Soft Computing Techniques. She has contributed 150 technical papers in International Journals and Conferences. She is a life member of ISTE , member of IEEE and IETE. Since 2004 she has completed 03 sponsored projects.

Priyanka
Priyanka received Ph.D in Engineering from IIT Delhi in the year 2005. M.Tech Degree from DAV Indoore in 1999 . M.Sc from IIT Rorkee in 1998. B.Sc from DAV Muzaffarnagar in 1996. She joined as lecturer, the Department of Electronics of College of Engineering Rorkee in 2005. She joined Department of Electronics & Communication Engineering of Deenbandhu Chhotu Ram University of Science and Technology(D.C.R.U.S.T) Murthal Sonepat(India) as Reader in 2008. Presently she is working as Associate Professor in the same Department. Her interest includes Digital Image Processing, Signal Processing and Soft Computing Techniques. She has contributed 20 technical papers in International Journals and Conferences. She is member of IEEE.


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