当前双模态红外图像融合在选取融合方法时，缺乏各要素之间的选取与组合的依据，且融合模型不能针对图像差异特征进行动态调整，造成融合效果不佳。针对上述问题，借鉴生物多拟态特性，提出了一种可变元素与矩阵相结合的双模态红外图像拟态融合算法。首先，将融合模型拆分成融合算法、融合规则、融合参数和融合结构相互独立的四部分，分别建立各部分与图像不同差异特征融合效果的单映射关系。其次，利用拟态变换思想，建立拟态变换融合方法，将融合过程所必要的四部分进行组合，从而派生出新的融合算法。最后，利用差异特征不同的源图像对所得拟态融合算法进行验证。实验结果表明，在图像差异特征不同时，利用该算法可以派生出更适合图像特征的融合方法，实现利用图像差异特征从而主动选择并动态调整融合算法的要求，使得所得到的融合图像中的差异特征可以有效融合，显著提高了原始图像视觉效果。

The current dual-mode infrared image lacks the selection and combination basis of each element when constructing the fusion method, and the fusion model cannot dynamically adjust for the image difference feature, resulting in poor fusion effect. Aiming at the above problems, referring to the multi-parameters of biological characters, this paper proposes infrared intensity and polarization image mimicry fusion based on the combination of variable elements and matrix theory. Firstly, the fusion model was divided into four parts: fusion algorithm, fusion rule, fusion parameter and fusion structure. The single mapping relationship between different parts and the difference of image feature fusion is established. Secondly, using the imaginary transformation idea, the imaginary transformation fusion method was established, and the necessary four parts of the fusion process are combined to derive a new fusion algorithm. Finally, it used the different source images with different features to verify the proposed mimetic fusion algorithm. Experimental results show that when the image difference features are different, the fusion method was more suitable for deriving image features, so as to achieve active selection and adjustment of the fusion algorithm. The different features in the fusion image can be effectively combined, and the visual effect of the original image is significantly improved.