Application of Improved Fuzzy c-Means Clustering in Cell Image Segmentation

Cell image show entirely different characteristic due to the biodiversity, complexity, culture conditions and acquisition methods. Segment image is the key step of cell image processing. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. The fuzzy c-means (FCM) clustering algorithm is one of most widespread methods which has applied in image analyzing, pattern recognition and medical diagnosis. To overcome the limitation of FCM algorithm, several improved FCM algorithm have been compared by applicated in cell image segmentation. The simulation results and the comparison between FCM and improved algorithm indicate that AFCM as shown by experiment indicated the better effect.