AN ITERATIVE ALGORITHM FOR CELL SEGMENTATION USING SHORT-TIME FOURIER-TRANSFORM

In this paper, an iterative cell image segmentation algorithm using sh ort-time Fourier transform magnitude vectors as class features is pres ented, The cluster centroids of the magnitude vectors are obtained by the K-means clustering method and used as representative class feature s. The initial image segmentation classifies only those image pixels w hose surrounding closely matches a class centroid, The subsequent proc edure iteratively classifies the remaining image pixels by combining t heir spatial distance from the regions already segmented and the simil arities between their corresponding magnitude vectors and the cluster centroids, Experimental results of the proposed algorithm for segmenti ng real cell images are provided.