It is a procedure of the label following an unsupervised fuzzy clustering that fuzzyc-means （FCM） algorithm is applied for intensity image segmentation

and it suits for the uncertainand ambiguous characteristic in intensity image. However

there are some deficiencies in the algorithm

for example

the number of clustering can not be determined automatically and the operational cost

for large data sets

is too high

which limit its application. In order to overcome the deficiencies

the number of clustering and the maximum of each cluster are automatically determinedthrough the histogram analysis ; Then

according to the character of FCM and intensity image

aquick fuzzy C-means （QFCM ） algorithm is presented for intensity images segmentation

with whichthe operational cost is reduced and the speed of clustering segmentation is greatly increased. Thefeasibility of the approach is proved by the mathematics and experiment result.