Investigation and Simulation of Different Medical Image Processing Algorithms to Improve Image Quality Using Simulink MATLAB

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  • Parissa Salehi1,
  • Neda Behzadfar*2,
  1. Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran
  2. Smart Microgrid Research Center, Najafabad Branch, Islamic Azad University, Najafabad, Iran

Revised: 2021-06-03

Accepted: 2021-06-19

Published in Issue 2021-12-01

How to Cite

Salehi, P., & Behzadfar, N. (2021). Investigation and Simulation of Different Medical Image Processing Algorithms to Improve Image Quality Using Simulink MATLAB. Signal Processing and Renewable Energy (SPRE), 5(4), 15-28. https://oiccpress.com/spre/article/view/7853

PDF views: 163

Abstract

After the discovery of X-rays with the increasing use of digital imaging systems, medical image processing has become more important. Medical image processing helps specialists in diagnosing diseases. In addition to major digital techniques such as computed tomography (CT) or magnetic resonance imaging (MRI), analog imaging techniques such as endoscopy or radiography are now equipped with digital sensors. By processing images using different methods, the procedure applied to patients can be improved. Algorithms play a key role in noise filtering, segmentation, extraction, and characterization that diagnose diseases. MATLAB software and image processing toolbox provide a wide range of advanced image processing functions and interactive tools for enhancing and analyzing digital images. In this article, using several algorithms designed in MATLAB, the quality of images is examined and a more appropriate algorithm is selected.
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