Modified texture based region growing segmentation of MR brain images
K. S. Angel Viji, J. Jayakumari · 2013
Image Segmentation is necessary factor in the medical image processing. According to the current scenario of health care society, detection of brain tumor is a must. Automated brain disorder diagnosis with MR images is one of the challenging medical image analysis methodologies. Segmentation is used to separate the abnormal tumor portion in brain. These tumors are inhomogeneous, unsharp, and faint. But their intensity values vary from the neighbouring healthy tissues. So a texture based region growing segmentation proposed here. This is simulated in MATLAB. The results depict that this proposal can considerably increase the performance of brain MR image segmentation.