Brain tumor segmentation system for medical images is provoked by the requirement of high accuracy when dealing with human life. In this paper, an automatic system for the identification and segmentation of MRI brain tumor images by using the Expectation Maximization (EM) segmentation algorithm is proposed. Here the MRI brain images are given as the input for the system and the segmentation of normal and abnormal tumor images can be obtained. The received EM based tumor images can be used for image classification also. This segmentation process gives more accurate results than the other image segmentation algorithms.
Cite this article:
Swarnakala, Natarajah Srikumaran. Brain Tumor Segmentation by EM Algorithm. Research J. Pharm. and Tech. 2017; 10(9): 3022-3024. doi: 10.5958/0974-360X.2017.00536.4