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Investigation and Simulation of Different Medical Image Processing Algorithms to Improve Image Quality Using Simulink-Matlab
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Parisa Salehi   , Neda Behzadfar * , Homayoun Movahedi-Nasab |
| Department of Electrical Engineering, Najafabad Branch, Islamic Azad University, Najafabad, Iran |
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Abstract: (341 Views) |
| 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 toolboxes 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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| Keywords: Image processing, Medical images, Operator, Simulink MATLAB. |
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Full-Text [PDF 1270 kb]
(217 Downloads)
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Type of Study: Applicable |
Subject:
Special
Received: 2020/09/28 | Accepted: 2020/12/30 | Published: 2020/12/30
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