Salient Infrared Target and Visible Image Fusion Based on Morphological Segmentation

The considerable information from different images of same scene can be integrated into single image by using image fusion which is worthy for human visualization and computer vision and other image-processing tasks. In this paper, single resolution weighted average image fusion approach based on morphological operations is proposed. To select salient infrared targets details from infrared imagery and spatial detailed information from visible imagery, the morphological operation are applied on input images for weight map computation. By adopting the proposed method, spatial information is mostly preserved and infrared targets can be easily visualized in the resulting fused images. Experimental results are demonstrated to support the validity of morphological operations for weighted average based fusion of infrared image and visible image.