Comparative Analysis of Various Enhancement Methods for Astrocytoma MRI Images

Image processing plays a crucial role in obtaining information from brain images. Magnetic Resonance Imaging (MRI) techniques provide precious information to the doctors to diagnose various diseases. Artifact removal, skull stripping, Noise removal and enhancement are various procedures in pre-processing of the image. Easy detection of the tumor requires a preprocessed image. We propose analysis of three methods on astrocytoma MRI brain images called Histogram Equalization (HE), Contrast Limited Adaptive Histogram Equalization (CLAHE), Brightness Preserving Dynamic Fuzzy Histogram Equalization (BPDFHE). These methods are verified and the results are evaluated using performance metrices. (MSE, PSNR, RMSE).