Research of Brain MRI image segmentation algorithm based on FCM and SVM
Jun Xiao, Yifan Tong · 2014
Brain disease is one of common diseases that threaten human health, which is becoming one of hot researches in society and medical profession. After a variety of image segmentation methods in the brain MR image segmentation are studied, it is found that FCM algorithm and SVM algorithm have a lot of advantages and good application prospection. Then a combination of unsupervised classification algorithm of FCM and fuzzy support vector machine model is proposed and the segmentation accuracy in the image with high noise and high bias fields is tested. Experimental results prove the validity of the proposed algorithm.