基于SIFT的自适应旋转图像无缝拼接算法

Research on seamless mosaic algorithm of adaptive rotating image based on SIFT

针对旋转图像拼接融合过程中产生缝合线的问题,提出了基于尺度不变特征转换(SIFT)的自适应旋转图像无缝拼接算法。该方法在SIFT特征匹配的基础上,使用了最小距离加权算法融合图像。为减少算法计算加权因子的耗时,提出了加速融合策略,最终快速完成了无缝拼接。实验结果表明,该算法的融合效果好,速度快,稳定性好。

In order to solve the problem of stitching seam generated in the process of rotating image mosaic and fusion,a seamless mosaic algorithm of adaptive rotating image based on the scale-invariant feature transform(SIFT)is proposed here. Based on the SIFT feature matching,the minimum distance weighted algorithm is used to fuse the images. In order to reduce the time-consuming when calculating the weighting factors,an accelerated fusion strategy is proposed,and the seamless mosaic is completed quickly. Experimental results show that the algorithm has good fusion effect,fast speed and good robustness.