MRI Image Enhancement Using Multilevel Image Thresholds Based on Contrast-limited Adaptive Histogram Equalization

Authors

  • Israa razzaq swadi Department of Physics, College of Science for Women, Baghdad University, Baghdad, Iraq
  • Tahseen Falih Mahdi General Directorate of Missan Education, Missan, Iraq
  • Hazim G. Daway Department of Physics, College of Science, Mustansiriyah University, Baghdad, Iraq

DOI:

https://doi.org/10.24996/ijs.2024.65.10.44

Keywords:

CLAHE, medical image, contrast enhancement, MRI Image, Multilevel image thresholds

Abstract

Magnetic resonance imaging (MRI) creates detailed images by combining a powerful magnetic field with high-frequency radio waves. MRI images need to increase brightness and contrast to facilitate distinguishing diseases. This study aims to improve the MRI images depending on the suggested algorithm, including three main stages. The first is to divide the image into three main areas using Multilevel image thresholds and then improve using CLAHE for each area separately. Finally, these images combine to form one image and improve it again. By analyzing the results and calculating non-referenced quality measures, the proposed method obtained the best quality results compared to the rest of the methods with quality rates of EN(6.14), AG(6.79), and CEM(0.84), which indicates excellent success in increasing clarity in those images.

Downloads

Published

2024-10-30

Issue

Section

Remote Sensing

How to Cite

MRI Image Enhancement Using Multilevel Image Thresholds Based on Contrast-limited Adaptive Histogram Equalization. (2024). Iraqi Journal of Science, 65(10), 5888-5899. https://doi.org/10.24996/ijs.2024.65.10.44

Similar Articles

11-20 of 726

You may also start an advanced similarity search for this article.