Preliminary results of cell image segmentation using dynamic force estimation on a static vane

This paper presents a novel method for cell image segmentation. The approach is based on the application of dynamic force estimation on a static vane (DFESV) to medical image processing problems. The other processes in the approach include smoothing filter using anisotropic diffusion, thresholding using Otsu´s algorithm, morphology operation, marking boundary segment, angle image operator, and angle relation merging. Microscopic images from breast cancer tissue are used for evaluation of the approach. Preliminary results show that cell image segmentation based on the DFESV can successfully separate multiple attach cells into distinct single cells.