Research on Optimization Method and Experiment of Digital Camouflage Pattern

Abstract

The design of digital camouflage pattern directly affects the camouflage effect. In order to solve the problem of digital camouflage effect evaluation and the optimization of digital pattern, three index features, including extraction brightness contrast, color feature and orientation feature, are selected to construct the synthetic evaluation index system of digital camouflage. A model of digital camouflage effect evaluation based on multi index grey clustering algorithm is established. Then he model is programmed with MATLAB software to compare the camouflage effect of different digital camouflage patterns and choose the best digital camouflage pattern. Finally, the virtual scene method is used to detect the subjective camouflage effect of digital camouflage pattern. The results show that the synthetic evaluation index system of digital camouflage based on background has certain feasibility, and the result of operation is more accurate and effective, so it can realize the optimization of digital camouflage.