An Improved Medical Image Segmentation Using Charged Fluid Model

摘要

Segmentation has a major role to play in the field of medical imaging for effectively detecting the deformities. Though there are huge medical imaging techniques available, Magnetic Resonance Image (MRI) is widely used because of the non-ionizing radiation which is being used. In this paper, we proposed a refined method using charged fluid model (CFM) which yields better results. It is essential to use an effective algorithm which can automatically segment the region of interest. Hence, we used Otsu’s algorithm to segment the image automatically.