Aimed at features of infrared and visible images and combined with Mitianoudis’s fusion method,an improved Independent Component Analysis (ICA) domain multimodal image fusion algorithm was presented. According to Mitianoudis,linear transformation was performed to the source images using ICA bases obtained from offline training. Then the image in ICA domain was segmented into different regions: active regions and non-active regions. For the active region,the "max-abs" fusion rule was used,while for the non-active region,different fusion rules were used according to the region segmentation result of the target sensor image. Finally,the fused image was reconstructed by the inverse transform. Experiment results demonstrate the effectiveness of the method.