Cell Segmentation in Cervical Smear Images using Polar Coordinates GVF Snake with Radiating Edge Map

In order to segment nucleus and cytoplasm of single cervical cell in the semear images accurately, a novel Gradient Vector Field (GVF) Snake is proposed by improving edge map of GVF Snake (PGVF) to enhance the capacity of the active contour model of gradient vector field to locate the boundary of nuclei and cytoplasmic. In our method, the image is converted into polar coordinates and the Sobel operator is used to calculate horizontal boundary, and then Sand Inhibition Method is designed to inhibite the influence of interference elements on boundary location, and finally cervical cells are segmented with GVF. At the end, experiments performed on the Herlev dataset, which contains 917 images show it is more efficiency of the proposed algorithm than RGVF and nearly same accuracy.