Region growing segmentation of textured cell images

The authors introduce a region growing algorithm working in conjunction with the K-means algorithm for the segmentation of textured cell images. The iterative algorithm initially segments the most easily classifiable regions which are grown in subsequent iterations. Only the most easily classifiable pixels in the remaining regions are segmented in each iteration. Experimental results of the procedure in segmenting breast cancer cells are demonstrated and compared to the K-means algorithm.