为解决红外迷彩对传统热成像系统的干扰问题,达到在战场上识别红外伪装目标的目的,进行了长波红外偏振成像与光强图像融合的实验研究。采集了典型战场背景的长波红外偏振图像,利用MATLAB编程对红外偏振图像处理得到了长波红外偏振度图像,进一步对偏振度图像和光强图像进行了融合。实验结果表明,红外偏振度图像比原始红外图像的灰度均值提高了53%,灰度标准差提高了90%,平均梯度提高了2.04倍;融合后的图像比红外偏振度图像的灰度均值提高了15%,灰度标准差提高了4%,平均梯度提高了17%。

An experiment research on using long wave infrared polarization imaging and fusion with intensity image is carried out in order to avoid the infrared camouflage interfering traditional thermal imaging system and recognize camouflage targets on the battlefield. Long wave infrared polarized images of typical battlefield are acquired, and then processed by MATLAB program to get the long wave polarization image. The polarization image and intensity image is fused. Experiment result shows that compared with the original infrared image, the polarization image has an average gray increase of up to 53%, gray standard deviation up to 90%, average gradient up to 2.04 times. And the fusion image has an average gray increase of up to 15%, gray deviation up to 4%, average gradient up to 17% than those of the polarization image.