Brain MRI Enhancement using Brightness Preserving Dynamic Fuzzy Histogram Equalization

Authors

  • Hikmat Z. Neima Department of Computer Science, College of Science, University of Basrah,

Keywords:

Medical images, histogram equalization, fuzzy logic, discrete wavelet transform.

Abstract

In the field of digital image processing, medical imaging is one of the most important applications areas. However; low contrast and poor quality are the main issues in medical image. So it is essential to enhance images so that the result is more suitable for post processing and diagnosis. Histogram equalization has been proved as an effective and simple technique used as contrast enhancer. This paper presents an efficient method for brain MRI image enhancement. Discrete Wavelet Transform (DWT) has been utilized to decompose MRI image. Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE) applied on the important part of the decomposed image. Finally, inverse of discrete wavelet transform is carried out to get the enhanced image. Experiments results that were obtained showed the effectiveness of proposed method.

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Published

2017-08-15

How to Cite

Z. Neima, H. (2017). Brain MRI Enhancement using Brightness Preserving Dynamic Fuzzy Histogram Equalization. Journal of Al-Qadisiyah for Computer Science and Mathematics, 6(1), 38–51. Retrieved from https://jqcsm.qu.edu.iq/index.php/journalcm/article/view/124

Issue

Section

Math Articles