OSTU image segmentation algorithm of fruit fly optimization algorithm

Chunyan Han

Department of Computer Science, Sichuan University for Nationalities, Sichuan, 626001, China

Traditional OSTU algorithm has the disadvantages of a large amount of calculation and low calculating speed. Based on the combination of Fruit Fly Optimization Algorithm and OSTU algorithm, an image segmentation algorithm is created from Fruit Fly Optimization Algorithm to improve OSTU, stressing the basic principles and calculation procedures of this revised algorithm. In order to verify the validity of this algorithm, the work compared the quality of image segmentation, segmentation speed and algorithm stability of 4 sets of standard test images. The simulation results show that the segmentation speed of revised OSTU algorithm is much faster than that of traditional OSTU algorithm when Fruit Fly Optimization Algorithm is applied to improve OSTU algorithm. Meanwhile, the quality of image segmentation is also more stable under the same condition of time limit.