基于背景代表色提取的迷彩伪装颜色选取算法

为了达到好的伪装效果,迷彩颜色应与背景色调相融合,以使人眼及光学仪器难以探测和分辨.因此,背景主色的准确提取是确定迷彩颜色的前提.利用灰度直方图可以确定背景图像中的主要灰度,但无法区分不同色调.而基于颜色直方图的背景主色提取方法的运算量太大.本文提出了一种基于HSI模型和量化颜色直方图的迷彩颜色选取算法.利用HSI颜色模型描述背景颜色特性,通过特殊量化方式对背景的颜色直方图进行量化,接着借助阈值方法选取背景主色作为迷彩颜色.结合迷彩伪装图案设计方法对上述迷彩颜色选取算法进行了实验分析,并通过边缘检测和相关跟踪方法对不同背景下的目标迷彩伪装效果进行了验证.

Camouflage color selection based on dominant color extraction

Camouflage colors in a good camouflage design should be similar to the background colors, so that human eyes and optical instruments are difficult to detect or recognize the camouflaged target in the background. Therefore, accurate extraction of the dominant colors of background is the precondition of camouflage color selection. Dominant gray levels of background image can be selected by analyzing histogram of the image, but these levels cannot distinguish colors of different hue. And dominant color extraction algorithm based on color histogram is too complex to operate. An effective method for camouflage color selection based on Hue, Intensity and Saturation (HIS) color model and quantized color histogram is presented in this paper. The color characteristic of background image is described by HSI color model, and the camouflage colors are selected from dominant colors of background, which are extracted by using specially quantized color histogram and applying threshold value. Combining the above-mentioned theory with camouflage pattern design technique, we analyzed the validity of the algorithm through experiments. The camouflage effect of camouflaged target in diverse backgrounds was also tested through edge detection and correlation tracking.