Automatic Color Image Segmentation Based on Anisotropic Diffusion and the Application in Cancer Cell Segmentation

This paper presents a new algorithm using anisotropic diffusion and mean shift applied in the color image. It is shown how segmentation can benefit from splitting color signals into chromatic and achromatic channels and separately smoothing them through anisotropic diffusion. The result of diffusion is segmented by mean shift techniques and their combination yields the final image partition into homogeneous regions. Some experimental results applied to cancer cell images are reported in this paper which verifies the effectiveness of the proposed technique.