A novel hybrid model for two-phase image segmentation: GSA based Chan-Vese algorithm

The proposed model has been tested on both several images taken from Weizmann dataset and suitable medical images for the local minima problem. Experiments on the suitable test images prove that the proposed GSA based Chan-Vese model is more accomplished and more robust when compared to the conventional Chan-Vese algorithm. The test results also denote that the proposed algorithm requires much smaller number of iterations (%75 less) to converge than the conventional Chan-Vese algorithm.