计算机科学 ›› 2015, Vol. 42 ›› Issue (3): 280-283.doi: 10.11896/j.issn.1002-137X.2015.03.058

• 图形图像与模式识别 • 上一篇    下一篇

一种消除图像拼接缝和鬼影的快速拼接算法

瞿 中,乔高元,林嗣鹏   

  1. 重庆邮电大学计算机科学与技术学院 重庆400065;重庆邮电大学移通学院 重庆401520,重庆邮电大学计算机科学与技术学院 重庆400065,重庆邮电大学计算机科学与技术学院 重庆400065
  • 出版日期:2018-11-14 发布日期:2018-11-14
  • 基金资助:
    本文受重庆市科委自然科学基金计划项目(2010BB2399)资助

Fast Image Stitching Algorithm Eliminates Seam Line and Ghosting

QU Zhong, QIAO Gao-yuan and LIN Si-peng   

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

摘要: 由于提取SIFT特征进行图像拼接的算法复杂度较高且不能很好地处理拼接缝和鬼影等问题,提出了一种消除拼接缝和鬼影的快速图像拼接算法。该算法首先划定提取SIFT特征的范围,计算出匹配特征点后使用RANSAC算法求取两幅图像间的坐标变换关系矩阵H,然后结合最佳缝合线算法和改进的加权平均融合算法实现无缝拼接。实验结果表明,提出的算法不仅有效地消除了拼接缝和鬼影,也提高了图像拼接的效率。

关键词: SIFT特征,图像拼接,拼接缝,鬼影,加权平均融合

Abstract: The image stitching algorithm using SIFT feature is complicated and hard to handle the seam line as well as ghosting.We proposed a fast image stitching algorithm to eliminate the seam line and ghosting.First,we extracted SIFT features in the given area of the full image.After obtaining the feature correspondences,we used the RANSAC algorithm to compute the homograph matrix H.Then,an integral image without seam line was received by the combination of the best seam line and the improved image fusion algorithm.The experimental results show that the algorithm not only eliminates the seam line and ghosting effectively,but also improves the efficiency of image stitching.

Key words: SIFT features,Image stitching,Seam line,Ghosting,Weight average fusion

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