Enhancing Segmentation Approaches From Fuzzy K-C-Means to Fuzzy-Mpso Based Liver Tumor Segmentation

Abstract

The combination of Graph cut liver segmentation and Fuzzy with MPSO tumor segmentation algorithms. The system determines the elapsed time for the segmentation process. The accuracy of the proposed system is higher than the existing system. The algorithm has been successfully tested in multiple images where it has performed very well, resulting in good segmentation. It has taken high computation time for the graph cut processing algorithm. In future work, we can reduce the computation time and improves segmentation accuracy.

Keywords: Graph Cut, Gradient Vector Flow Active Contour Method, Particle Swarm Optimization Method, Fuzzy With Multi Agent Particle Swarm Optimization Algorithm