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Mohammed Mabrouk Sharaf

Work place: Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menofia University, Menofia, Egypt

E-mail: mmsharaf46@yahoo.com

Website:

Research Interests: Type Systems, Control Theory, Process Control System, Information Systems, Operating Systems, Computer systems and computational processes, Computational Engineering

Biography

Mohammed Mabrouk Sharaf received Ph.D. degree in control engineering in1981 from dept. of electrical eng. and electronics, Liverpool Univ., UK. Lecturer 1981, Associate professor, 1986, and Professor, 1990, in dept. of industrial electronics and control engineering, Faculty of Electronic Engineering - Menofia Univ. Egypt. Oct.1983-Aug.1984 he was a post doctoral research fellow in the dept. of electrical and electronics eng., Univ. of Auckland, Auckland, New Zealand for processing and modeling of brain data.A member and senior member in the IEEE since 1978, then a life member in 2012. From 1995 till 2001 he was the vice dean of the faculty of electronics engineering, then a head of the dept. during 2003-2004. During 2004-2007 he was the dean of the faculty of electronic engineering, Menofia Univ., Egypt. He is the author of a book on "industrial control system technology" (810 pages in Arabic), and more than fifty research papers. His research interests include: mathematical modeling and simulation of dynamic systems, control engineering, adaptive systems, networked control systems and biomedical systems.

Author Articles
Visual Improvement for Hepatic Abscess Sonogram by Segmentation after Curvelet Denoising

By Mohammed Tarek GadAllah Mohammed Mabrouk Sharaf Fahima Aboualmagd Essawy Samir Mohammed Badawy

DOI: https://doi.org/10.5815/ijigsp.2013.07.02, Pub. Date: 8 Jun. 2013

A wise automated method for wisely improving the visualization of hepatic abscess sonogram, a modest trial is being done to denoise and reduce the ultrasound scan speckles wisely and effectively. As an effective way for improving the diagnostic decision; improved sonogram for hepatic abscess is reconstructed by ultrasound scan image segmentation after denoising in Curvelet transform domain. Better sonogram visualization is required for better human interpretation. Speckle noise filtering of medical ultrasound images is needed for enhanced diagnosis. Double thresholding segmentation was applied on, an ultrasound scan image for a Liver with amebic abscess, after it had been denoised in Curvelet transform domain. The result is enhanced wise effect on the hepatic abscess sonogram image's visualization which improves physicians' decisions. Moreover, this method effectively reduces the memory storage size for the image which consequently decreases computation processing time.

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