Research and Analysis of Key Technologies in Image Mosaic

Research and Analysis of Key Technologies in Image Mosaic
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图像拼接关键技术研究与分析

DOI:
10.14257/ijsip.2013.6.5.21
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发表时间:
2013-10
期刊:
International Journal of Signal Processing, Image Processing and Pattern Recognition
影响因子:
--
通讯作者:
Lei Yu
Lei Yu
中科院分区:
其他
文献类型:
--
作者:
Yan Gong;Hong Xie;Lei Yu

文献摘要

参考文献

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考虑到传统的图像匹配优化算法效率较低,并且在图像拼接领域中鬼影伪影是一个常见的问题,消除它并不是一件容易的事情。本文提出通过对不同尺度的特征点进行聚类分析,得到全局较稳定的仿射变换,并对匹配的特征点进行仿射变换一致性过滤,从而消除了错误的匹配点。提出了一种改进的动态规划(DP)方法来寻找最佳拼接线。采用改进的加权平均法使拼接结果平滑,有效地消除了强缝。实验结果表明,该算法具有较好的去除伪匹配和重影伪影的效果,具有较强的鲁棒性。
Considering the traditional image match optimization algorithm is low efficiency, and ghosting artifact in the field of image stitching is a common problem and the elimination of it is not an easy task. In this paper, we presents that through cluster analysis for different scales of feature points to obtain the global and better stable affine transformation, and the matched feature points are filtered consistency by affine transformation, so it can eliminate the false matching points. An improved dynamic programming (DP) method is presented to find the best stitching line. The improved weighted average method is used to achieve smooth stitching results and eliminate intensity seam effectively. Experimental results show that the proposed algorithm has good result of removing false matching and ghosting artifacts, it is robust.
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影响因子: --
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