提出了一种基于图像灰度相关算法的红外隐身效果评价方法．通过对采用红外隐身措施前后目标图像的相关处理，提取相关峰的峰显著系数、峰－相关能量比和峰－背景比这三个特征参量来定义红外隐身概率作为衡量红外隐身效果的客观评价指标．采用人眼对红外热图进行判识的统计结果来确定红外隐身概率中各参量的统计权重，从而使计算机图像处理方法所得结果与实际人眼的主观判识结果一致．实验结果表明：此方法适用于对地面典型**目标的红外隐身效果进行客观评价．

An evaluation method based on image gray correlation algorithmic was put forward. The infrared camouflage probability was defined as an impersonal evaluation index to weigh the infrared camouflage effect through the correlation processing of the thermal images with or without camouflage measure and extracting characteristic parameters of correlation peak including peak notable degree,peak to correlation energy ratio and peak-to-background ratio. The statistic weights of different characteristic parameters were educed from the statistic results of human eyes distinguishing thermal images. So the computer image processing results can be consistent with the practical human eyes subjective distinguishing results. The experiment results show that the method is effective on evaluating the infrared camouflage effects of representative land military object.