Computer Science ›› 2015, Vol. 42 ›› Issue (10): 306-310.

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Image Fusion Method Based on Best Seam-line for Serial Remote Sensing Images Mosaic

QIN Xu-jia, WANG Qi, WANG Hui-ling, ZHENG Hong-bo and CHEN Sheng-nan   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Pixels weighted fusion in overlapped region is a key technology in image fusion processing,but ghosting will appear.In this paper,an improved algorithm for generating optimal seam-line and fusion method along the best seam-line for image fusion were presented and applied to mosaic and fusion for serial remote sensing images.Firstly,the edge weights are set in the overlapping area of the images.Then the maximum flow minimum cut is calculated,and eventually the best seam-line in images overlapping area is got.In the calculation of the weights of edges,the image gradient information is introduced,and the seam-line is more accurate.In image fusion processing,along the best seam-line a strip-shaped fusion area is generated,and the image in the strip-shaped fusion area of both sides of the seam-line is transited using gradated in and out method to make mosaic images more real.In serial remote sensing images mosaic,the bundle adjustment algorithm is used to adjust the parameters of images mosaic to achieve the global error minimization.Experimental results show that this method can effectively eliminate ghosting and obtain accurate image mosaic and fusion,and can get good results for serial remote sensing images mosaic and fusion.

Key words: Image mosaic,Image fusion,Seam-line,Graph cut,Serial images

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