基于偏振成像均衡化的目标对比度提升研究

Research on Target Contrast Enhancement Based on Polarization Imaging

为了解决传统成像对复杂环境背景下目标物成像质量差的问题,基于不同物体在外部纹理及特性上的差异导致反射光波所含偏振信息不同这一特性,采用偏振成像与图像均值化相结合的方法,获取了目标与背景不同的偏振信息,并对偏振度图像进行均值化处理,从而增强了目标轮廓,显著地提升了目标的对比度。试验中将可沿主光轴旋转的偏振片加在了CCD镜头前,获取到了复杂背景下不同偏振角度下的目标物偏振图像,并用基于斯托克斯参数的算法进行处理,最后对偏振度图像进行均值化处理分析。低对比度目标物经过处理后,结果表明:原始偏振图像中目标物a对比度提升了4.1倍,目标物b对比度提升了3.6倍,目标物c对比度提升了3.5倍,目标物d对比度提升了4.3倍。各目标物边界和纹理信息得到了大幅增强,其轮廓也可被清楚地分辨。

In order to solve the problem of poor imaging quality of traditional imaging to target objects in complex environment background,Based on the characteristic that the polarization information of reflected light wave is different due to the difference of external texture and characteristics of different objects,In this paper,polarization imaging and image mean are combined to obtain the polarization information of the target and the background,and the mean of the degree of polarization image is processed,so as to enhance the target contour and significantly improve the contrast of the target.In the experiment,the polarizer that can rotate along the main optical axis is added to the CCD lens,and the polarization image of the target under different polarization angles under the complex background is obtained.The algorithm based on Stokes parameter is used to process the polarization image of the target.Finally,the polarization image is averaged and analyzed.After the low contrast target is processed,the results show that in the original polarization image,the contrast of target a is improved by 4.1 times,target b by 3.6 times,target c by 3.5 times,and target d by 4.3 times.The boundary and texture information of each object is greatly enhanced,and its contour can be clearly distinguished.