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

Visual Improvement for Hepatic Abscess Sonogram by Segmentation after Curvelet Denoising

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Author(s)

Mohammed Tarek GadAllah ^1,* Mohammed Mabrouk Sharaf ¹ Fahima Aboualmagd Essawy ¹ Samir Mohammed Badawy ¹

1. Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menofia University, Menofia, Egypt

* Corresponding author.

DOI: https://doi.org/10.5815/ijigsp.2013.07.02

Received: 21 Feb. 2013 / Revised: 22 Mar. 2013 / Accepted: 26 Apr. 2013 / Published: 8 Jun. 2013

Index Terms

Image Segmentation – Ultrasound Medical Imaging – Curvelet Transform

Abstract

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.

Cite This Paper

Mohammed Tarek GadAllah,Mohammed Mabrouk Sharaf,Fahima Aboualmagd Essawy,Samir Mohammed Badawy,"Visual Improvement for Hepatic Abscess Sonogram by Segmentation after Curvelet Denoising", IJIGSP, vol.5, no.7, pp.9-17, 2013. DOI: 10.5815/ijigsp.2013.07.02

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International Journal of Image, Graphics and Signal Processing (IJIGSP)