Tissue segmentation Techniques of brain MR Images : A Review

Medical image segmentation is a key step and a preliminary stage in computer aided. The success of medical image analysis depends heavily on accurate image segmentation algorithms, so an accurate segmentation of medical images is primary in radiotherapy planning, clinical diagnosis and treatment planning. Therefore, it is a challenge and an unsolved problem. For this reason, medical image segmentation continues to be a complex and a challenging problem. A different assumption about the nature of analyzed images leads to the use of different algorithms. In this paper medical image segmentation techniques are divided into threshold-based, edge-based, region-based, and clustering and hybrid. Compare between FCM, KFCM, gets results with different noise level and different intensity non-uniformity (INU). Keywords— INU, medical image segmentation, MRI.