基于局部能量与模糊逻辑的红外偏振图像融合

his paper presents a new fusion algorithm of the infrared polarization and intensity images based on the differences of imaging characteristics between them and NSCT. Firstly，the NSCT is used to perform the multi-scale and multi-direction decomposition of the source images. Then，the low frequency sub-band coefficients are fused by local energy rule and the coefficient fused uses histogram equalization，However，the high frequency direction sub-band coefficients are fused by choosing the pixels、the regional and the weighted average fusion rules which are based on the differences of characteristics in the source images by fuzzy logic. Finally，the various sub-band coefficients fused are reconstructed by the inverse NSCT and get the final fused image. The simulation results indicate that the algorithm is an effective integration of complementary information of the source images and the algorithm has some advantages and practical significance in the target recognition.