An Evaluation of Contrast Enhancement of Brain MR Images Using Morphological Filters

Tumor is the uncontrollable growth of abnormal cells in the brain which can be screened using magnetic resonance imaging (MRI). But, MRI is prone to poor contrast and noise during acquisition. This might affect the visibility of the tumor in the image which makes contrast enhancement an essential part of MR image analysis for tumor detection. In this method, a disk-shaped flat structuring element is applied with morphological operators consisting of bottom-hat, dilation and erosion for the purpose of noise controlled enhancement of MRI tumors. The outcomes of the proposed method are validated by image fidelity assessment parameters like: contrast improvement index (CII) and peak signal-to-noise ratio (PSNR).