Multiexposure image fusion is an effective method for depicting a high dynamic range display of target scenes. However, the loss of local details and ghosting artifacts in fusion images has not yet been well resolved in the existing research. To solve these problems, a multiexposure image fusion algorithm with detail enhancement and ghosting removal is proposed. First, the exposure brightness and chromaticity information in YIQ color space are used to measure weight maps. When the captured scene is dynamic with moving objects, the weight maps are refined to remove ghosting artifacts based on the image difference and superpixel segmentation. Finally, an improved Laplacian pyramid fusion framework is proposed to achieve image fusion with detail enhancement. The experimental results demonstrate the effectiveness of the proposed method in terms of both visual quality and objective evaluation and show that the proposed algorithm can preserve more details and can remove ghosting artifacts effectively.
Due to the particularity of the surface of concrete tunnel lining and the diversity of detection environments such as uneven illumination, smudges, localized rock falls, water leakage, and the inherent seams of the lining structure, existing crack detection algorithms cannot detect real cracks accurately. This paper proposed an algorithm that combines lining seam elimination with the improved percolation detection algorithm based on grid cell analysis for surface crack detection in concrete tunnel lining. First, check the characteristics of pixels within the overlapping grid to remove the background noise and generate the percolation seed map (PSM). Second, cracks are detected based on the PSM by the accelerated percolation algorithm so that the fracture unit areas can be scanned and connected. Finally, the real surface cracks in concrete tunnel lining can be obtained by removing the lining seam and performing percolation denoising. Experimental results show that the proposed algorithm can accurately, quickly, and effectively detect the real surface cracks. Furthermore, it can fill the gap in the existing concrete tunnel lining surface crack detection by removing the lining seam.