GENERATION AND RECOGNITION OF FRACTAL CAMOUFLAGE STRUCTURES USING NEURAL NETWORKS
The paper considers a method of generating fractal camouflage structures (grids) using a randomized system of iterative functions. This method allows for changing the base structure (type of mesh), which in turn makes it possible to determine the parameters by which the object can be identified as a fractal camouflage mesh. In the mathematical description of the improved RSIF, the color range parameters (set of colors) are introduced, allowing the fractal structure to be adjusted to the colors of the landscape where the camouflage net will be applied.