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

Israa razzaq  swadi; Tahseen Falih  Mahdi; Hazim G.  Daway

doi:10.24996/ijs.2024.65.10.%g

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.%25g

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.