A Robust Approach for Application of Morphological Operations on MRI

Morphological operators are used in many applications like segmentation, edge detection and image analysis. These operations play a major role in medical image analysis. Therefore a novel approach has been proposed in this paper which improves the results of morphological operations, which in turn lead to improvement in the whole process of medical analysis. The proposed method makes use of effective pre-processing and improves the results of erosion and dilation. Noise from various sources gets introduced into Magnetic Resonance (MR) images. The MR images are firstly denoised and then morphological operations are applied, which results in better erosion and dilation process of MR images. The performance of proposed method is compared qualitatively as well as quantitatively on basis of metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Structure Similarity Index (SSIM) values.