MRI Medical Images Enhancement based on Histogram Equalization and Adaptive Histogram Equalization

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-50 Number-2
Year of Publication : 2017
Authors : Wurood A. Jbara, Rafah A. Jaafar
DOI :  10.14445/22312803/IJCTT-V50P116


Wurood A. Jbara, Rafah A. Jaafar "MRI Medical Images Enhancement based on Histogram Equalization and Adaptive Histogram Equalization". International Journal of Computer Trends and Technology (IJCTT) V50(2):91-93, August 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
MRI medical images recently considered one of the most widely utilized for disease diagnostic in the field of medicinal. With this signification the MRI images suffers from contrast degradations. These contrast degradations in MRI images can be solved with image contrast enhancement techniques to make it more suitable for medical applications. The image contrast enhancement techniques are used to enhance the visibility quality of internal human body texture in magnetic resonance imaging (MRI) images. In this paper the Histogram Equalization (HE) and Adaptive Histogram Equalization (AHE) are applied to improve the contrast of MRI medical images. Experimental results have achieved good efficiency to improve the contrast of MRI medical images with very high quality. Various measures quality like MSE, PSNR and SNR are been taken into account for evaluation the quality of enhanced MRI medical images.

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MRI medical images, Contrast enhancement, Histogram Equalization, Adaptive Histogram Equalization.