Histogram Equalization Based Enhancement and MR Brain Image Skull
Stripping using Mathematical Morphology
Abstract
In brain image processing applications the skull stripping is an
essential part to explore. In numerous medical image applications the
skull stripping stage act as a pre-processing step as due to this stage
the accuracy of diagnosis increases in the manifold. The MR image skull
stripping stage removes the non-brain tissues from the brain part such
as dura, skull, and scalp. Nowadays MRI is an emerging method for brain
imaging. However, the existence of the skull region in the MR brain
image and the low contrast are the two main drawbacks of magnetic
resonance imaging. Therefore, we have proposed a method for contrast
enhancement of brain MRI using histogram equalization techniques. While
morphological image processing technique is used for skull stripping
from MR brain image. We have implemented our proposed methodology in
MATLAB R2015a platform. Mean square error (MSE) and peak signal to noise
ratio (PSNR) has been used to evaluate the results of our presented
method. The experimental results illustrate that our proposed method
effectively enhance the image and remove the skull from brain MRI.