This invention belongs to the field of digital
camouflage technology, specifically relating to a digital
camouflage pattern design method based on trend function constraints. It includes: Step 1: Pre-segmenting the
background image, then obtaining the step size,
turning angle, and step size probability distribution P. l and the probability distribution of the
turning angle P θ Step 2: Normalize the frequency and pixels of the
background image, obtain the weights corresponding to the edges, construct a Laplacian
sparse matrix, generate a probability matrix, match patch labels, calculate the density of texture patches, adaptively generate corresponding convolutional modules, and finally design destructive edges; Step 3: Perform matching and clustering of the main color to output the final
camouflage pattern. This invention proposes a digital camouflage pattern design method based on trend function constraints. By defining a trend function to estimate the boundary probability between pixel nodes, digital camouflage patches are outlined, and finally, the background main color is filled to distort the
target surface features, thereby realizing the digital camouflage pattern design.