根据红外偏振特性图像的冗余性与互补性,提出了一种基于梯度特征和支持度变换的二次融合方法.利用提出的方法先对红外偏振度与偏振角图像进行梯度特征融合,然后利用支持度变换对梯度特征融合图像和合成强度图像进行二次融合,得到了边缘突出、轮廓清晰、对比度高的的融合图像.实验结果表明:融合图像与偏振角图像、偏振度图像、合成强度图像相比局部方差分别提高23.02％、176.9％、148.2％；对比度分别提高67.84％、196.5％、49.39％；平均梯度分别提高46.09％、164.1％、214.5％.%According to the redundant and complementary information among polarization characteristic images, a second polarization fusion method was proposed based on gradient characteristic and support value transformation. Firstly, the images of linear degree of infrared polarization and polarization angle were fused using gradient characteristic fusion. Then the support value transform was used to fuse the images of primary polarization fusion and total intensity second,and a fusion image with enhanced edge ,clear contour and high contrast was obtained. Experiment results show that compared with the polarization image, polarization linear image and total intensity image, the fused image increases the local standard deviation by 23. 02%, 176. 9% and 148. 2% respectively, increases the contrast between the target and the background hy 67. 84%, 196. 5%, 49. 39% respectively and the average gradient by 46. 09%, 164. 1%, 214. 5% respectively . The validity of the algorithm proposed is proved.
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