Algorithm of Double Threshold Image Segmentation Combined QGA with Two-Dimensional Otsu

Single threshold could not achieve the effective segmentation of the ship target and the two-dimensional Otsu segmentation method has the problem of large computation cost. In order to improve the efficiency of segmentation, an algorithm combined QGA with two-dimensional Otsu image segmentation based on double threshold was proposed. It takes the two-dimensional Otsu threshold as the objective function to seek the image segmentation threshold by the global optimization of QGA algorithm. This method can obtain the optimal segmentation threshold, and the running speed is improved by nearly two times that based on genetic algorithm and two-dimension Otsu.