The Research And Designment Of Some Key Algorithms For Digital Camouflage

In modern digital military war, how to prevent the enemy to steal allied military intelligence has become a very important military project, better camouflage can greatly reduce the possibility of military intelligence theft, and better camouflage technology can also get success factorsby smaller cost in the war. Therefore, how to improve the military camouflage technology has more and more important research value. Camouflage technology means how to hide one's own military facilities and confuse the enemy's military reconnaissance technology, it has become a very important means in the war. Camouflage has high performance to its price ratio and is widely used in the military confrontation in the investigation.Camouflage is mainly works through the coating reduced object in color and texture and background difference, so as to achieve the effect of camouflage and reduce the probability to be found. Good camouflage can not only coordinate with the background color, but also can coordinate with the background texture.In this paper, we propose and implement a main color extraction method based on the color perception of the human eye, which is based on the real needs of the human eye and the main color extraction method is based on k-means and CIEDE2000. The method firstlyfilter the background images color in order to reduce the amount of calculation and improve the calculation speed and the number of colors in the background picture, and then use a algorithm base on CIEDE2000 color similarity algorithm for clustering. CIE2000 is proposed by the International Commission on illumination the new color difference formula and the algorithm to color distinction more attached to the human eye vision. Through a series of analysis and repeated testing on the algorithm, the efficiency of the implementation has been significantly improved. In order to reduce the Digital Camouflage generation cycle, this paper proposed an automatic generation scheme based on the outline of the background, using computer's high performance computing power instead of hand-painted will lead to more accurate setting of camouflage pattern color area ratio and other parameters, and can generate better camouflage patterns within a shorter period of time. Finally a camouflage pattern generation method presented in this paper, with the OpenGL, the camouflage pattern texture mapping to a 3D model, and placed into the background pattern to observe the effect.Experiments show that compared with the traditional digital camouflage design method, in this paper, the design of digital camouflage pattern can better coordinate It can quickly produce digital camouflage with different background environment, which greatly enhance the camouflage effect.