TY  - JOUR
T1  - Segmentation of Brain MR Images Using Fuzzy Clustering Method with Silhouette Method
AU - , T. Bala Ganesan AU - , R. Sukanesh 
JO  - Journal of Engineering and Applied Sciences
VL  - 3
IS  - 10
SP  - 792
EP  - 795
PY  - 2008
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2008.792.795
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2008.792.795
KW  - Wavelet coefficients
KW  -fuzzy C means algorithm
KW  -edge detection technique
AB  - Segmentation of images is the key step in image analysis. This study deals with Brain Magnetic Resonance Image segmentation. Any medical image of human being consists of distinct regions. These regions could be represented by Wavelet Coefficients. Classification of these features may be performed using Fuzzy Clustering Method (FCM-Fuzzy C-Means Algorithm). Edge detection technique is used to detect the edges of the given images. Silhouette method is used to find the strength of clusters. Finally, the different regions of the images are demarcated and color coded.
ER  -