传统的迷彩图案中斑点的边界平滑分明，不利于与斑点破碎的背景融合。数码迷彩边界模糊、破碎，近距离观察时能够有效分割大斑点，远距离观察时能够形成空间混色，大大增强了迷彩伪装的效果。于是数码迷彩成为当今迷彩设计的一大主流，从背景主色斑点到数码迷彩生成是数码仿造迷彩设计的重要环节。因此根据空间混色原理，提出了一种数码迷彩斑点分布的概率模型，实现了对数码迷彩单元分布的量化，设计了从背景主色斑点到数码迷彩图案的生成方法，综合运用MATLAB图像处理技术，结合概率分布模型通过编程生成了数码迷彩图案。结果表明，该方法能够生成边缘破碎具有良好空间混色效果的数码迷彩图案，为数码仿造迷彩的设计提供了一种新的思路。

The edges of speckles in traditional camouflage patterns is smooth and clear which is disadvantage to blend with the background with broken speckles. The edges of digital camouflage are ambiguous and broken. Big speckles can be segmented effectively at short range observation. Spatial color mixture is formed at long distance observation and the effect of camouflage is enhanced greatly. So the digital camouflage is one of the most important parts in camouflage design in recent years. The important step of digital copy camouflage design is from the main color speckle in background to the generation of digital camouflage. According to the spatial color mixture principle, a probability model of digital camouflage speckle distribution is introduced so as to quantify the distribution of digital camouflage unit. The generation method from main color speckles in background to digital camouflage patterns is designed. Incorporating with MATLAB image processing technology and probability distribution models, digital camouflage patterns are generated through programming. The result shows that the digital camouflage patterns with broken edges and good spatial color mixture effect can be generated with the method. And a new idea is provided for the design of digital copy camouflage.