Abstract:

Fuzzy c-means(FCM)algorithm is one of the most
popular methods for image segmentation.However,the standard
FCM algorithm is sensitive to noise because of not taking into
account the spatial information in the image.An improved FCM
algorithm is proposed to improve the antinoise performance of
FCM algorithm.The new algorithm is formulated by incorporating
the spatial neighborhood information into the membership function
for clustering.The distribution statistics of the neighborhood pixels
and the prior probability are used to form a new membership func-
tion.It is not only effective to remove the noise spots but also can
reduce the misclassified pixels.Experimental results indicate that
the proposed algorithm is more accurate and robust to noise than
the standard FCM algorithm.