Research On Digital Camouflage Generation Technology Based On Curve Fusion Characteristics

As an important tactical means in combat training,camouflage can improve the concealment of camouflaged objects and the possibility of victory,which is of great significance.Camouflage,as an important means of concealment in military operations,is very important to the concealment performance of targets.With the rapid development of science and technology,the military reconnaissance technology is also constantly improving,and the connection between the larger patches of traditional camouflage is not natural,so that it can only have a certain camouflage effect in a long distance and a lower reconnaissance technology.In the face of high-tech reconnaissance means,the improvement of camouflage effect is of great significance to the preservation of military strength.In order to resist high-tech reconnaissance methods and improve the camouflage effect of camouflage,in the process of generating digital camouflage textures,the texture of the background outline and mosaic squares will increase or increase,resulting in the problem that the background and camouflage texture features cannot be completely matched.In this paper,computer vision technology is used as a means,combined with image processing technology,to propose a digital camouflage generation technology that generates texture features based on curve fusion characteristics.Using a reasonable image acquisition technology,first of all,the background image collected is pre-processed by median filtering,and secondly,the background image is converted into color space,and the K-means clustering algorithm and color histogram algorithm are used to perform the background color extract.In this paper,the watershed segmentation algorithm is used to segment the background image to extract the contour features of the background,the size of the mosaic is calculated based on the visual principle,and then the technology based on the curve fusion feature is used to fuse the contour of the background image with the mosaic square to generate a digital camouflage texture.Finally,the scanning line seed filling algorithm is used to fill the main color to generate digital camouflage.This paper evaluates the digital camouflage generated by the algorithm by three indicators: discovery probability,discovery time,and the similarity between the camouflage texture and the background image texture.This paper mainly studies the generation of Digital Camouflage based on the characteristics of curve fusion.The main research work of this paper is as follows:1.Extraction of main color.The collected natural background image is preprocessed,and then the background image is transformed into lab color space.In this paper,K-means clustering algorithm and color histogram method are used to extract the main color of the background image,so as to make the extracted main color more accurate and prepare for the generation of high fusion Digital Camouflage.2.Texture generation.This operation also needs to preprocess the natural background image,using watershed algorithm to extract the contour of the processed background image.The size of mosaic block is calculated based on the vision principle of human eyes.Curve fusion technology is used to fuse background contour and mosaic block to generate digital camouflage texture.This method can effectively solve theproblem that the difference between traditional camouflage texture and background texture is large,and can better improve the fusion of Digital Camouflage and background.3.The generation of Digital Camouflage.In this paper,the scanning line seed filling algorithm is applied to fill the main color,and finally the digital camouflage is generated.The scanning line seed filling algorithm can fill the main color according to the color distribution in the background,so as to generate a digital camouflage which is more suitable for the background color distribution.4.Evaluation of Digital Camouflage.This paper evaluates the digital camouflage generated by the algorithm in this paper with three indicators: discovery probability,discovery time,and the similarity between the camouflage texture and the background image texture.Through a large number of experimental data comparison,it is found that the Digital Camouflage generation algorithm based on curve fusion characteristics can generate camouflage images with better fusion performance with the background image,and the camouflage effect is better.