Grid Optimal Stitching Algorithm for Large Disparity Images Based on Virtual Reality
Image brightness and local information intensity may affect the image clarity.In order to improve the image mosaics,an optimal mesh stitching algorithm for big disparity image grid based on virtual reality was proposed.Based on virtual reality,a stitching environment was constructed.In this environment,the image mosaic was carried out,and these images were grayed to enhance the information intensity of local areas.Then,low-density grids were constructed by the projection algorithm.Meanwhile,a grid matrix was constructed according to the distribution of the matching points in the images.Moreover,the matrix was weighted and superposed in combination with the global best similarity transformation matrix,and then the distortion correction was performed on the overlapping areas.The content sensing algorithm was applied to the overlapping areas of the image,thus finding out the minimum accumulated pixel line.Finally,image fusion was implemented,so that the mesh optimization splicing of big disparity images was com-pleted.Experimental results show that the proposed method needs a shorter image mosaic time,and has a lower root mean square error,with better mosaic effect.
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