传统迷彩大都是由不规则的斑点或条纹组成，其边缘平滑、不同色彩间界限分明，视觉区分度强，以致隐蔽的效果大打折扣。数码迷彩能够有效破坏伪装目标的外形，使不同色彩间的边界模糊、破碎，具有良好的伪装隐身效果。本文提出了一种根据目标背景图像生成数码迷彩的算法，它首先将背景图案的颜色量化，提取出背景主色，然后确定马赛克方块的大小，最后生成数码迷彩。实验表明，利用此算法生成的数码迷彩相对于传统迷彩能够更好地与自然背景相融合，达到良好的光学伪装效果。

The traditional camouflage is based on a number of irregular spots or stripes, whose edges are smooth as well as they have clear boundaries between different colors. The visual distinction degree is so strong that the camouflage effect is debased. The digital camouflage can break the boundary of a camouflaged target between different colors, and make it blurred and broken, so as to attain a better camouflaged effect. An algorithm which can generate digital camouflage figures is presented with background images of the target. It quantizes the colors of the background, extracts the dominant colors, and then determines the size of a mosaic block. Finally, the digital camouflage figure is generated. The experimental result shows that, the digital camouflage is easier to blend with the natural background than the traditional camouflage, and achieves a good effect of the optical camouflage.