Title :
Research of Brain MRI image segmentation algorithm based on FCM and SVM
Author :
Jun Xiao ; Yifan Tong
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
May 31 2014-June 2 2014
Abstract :
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.
Keywords :
biomedical MRI; brain; image segmentation; medical signal processing; pattern clustering; support vector machines; FCM algorithm; SVM algorithm; brain MRI image segmentation algorithm; brain disease; fuzzy C-means clustering algorithm; fuzzy support vector machine model; Clustering algorithms; Estimation; Image segmentation; Medical diagnostic imaging; Noise; Support vector machines; Brain MRI; Image segmentation; SVM;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852445
