Region parallel fusion algorithm based on infrared and visible image feature

Considering the physical characters of infrared and visible image, a parallel processing fusion algorithm is proposed to fuse target regions and background regions respectively. Firstly the improved marker-controlled watershed algorithm and "mutual mapping" approach are used to segment the images into corresponding target and background regions. For the quadrate IR and visible target regions, the target fused image is acquired by direction contrast and region maximum standard deviation method based on wavelet domain fusion. For the IR and visible background regions, the background fused image is acquired by variance weighted information entropy (VWIE) method based on background complex degree(BCD). The total fused image is acquired by mathematical superposition approach based on the target and background fused images. Comparing with several common algorithms by "quality coefficient" that is an objective and integrative evaluation index, this paper method proves to be better to keep the IR features of IR image and the detailed information of visible image, this paper method can effectively fuse background images too. The experiment result shows the parallel processing fusion algorithm not only improves the fusion veracity, but also enhances the operation speed.