Abstract:In this paper

we present a fuzzy spatialinformation cmeans clustering (FSICM) algorithm for image segmentation byintroducing spatial information

in order to overcome the defects of beingsensitive to noises and outliers in image brought by Fuzzy cmeans clustering (FCM)algorithm The algorithm effectively utilizes the spatial information of theimage and the gray information of the image to be segmented

and improves thesegmentation accuracy of the noisy image Firstly

the spatial function isintroduced into the membership function to change the membership weight of eachpixel so as to suppress the noise Then

the neighborhood information of pixelsin the image is taken into account

each pixel is processed to form a linearweighted image

and the gray histogram of the newly formed image is clusteredExperimental results of both synthetic and real images show that thesegmentation accuracy of FSICM algorithm for noise image is above 99% Comparedwith other algorithms

the algorithm proposed in this paper can remove noisewhile maintaining important details of the image and is robust to noise images