Otsu image threshold segmentation method based on seagull optimization algorithm

Abstract

In this paper, a two-dimensional Otsu image threshold segmentation method based on Seagull optimization is proposed. The Seagull algorithm is used to calculate the threshold points of two-dimensional Otsu image segmentation and segment the image. The algorithm makes full use of the seagull migration operator of global search and the seagull attack operator of simulated local search. Simulation results show that the algorithm not only improves the speed, but also improves the segmentation accuracy.