计算机工程 ›› 2010, Vol. 36 ›› Issue (1): 215-217.doi: 10.3969/j.issn.1000-3428.2010.01.074

• 图形图像处理 • 上一篇    下一篇

基于SURF和KLT跟踪的图像拼接算法

罗三定,贺俊耀   

  1. (中南大学信息科学与工程学院,长沙 410083)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2010-01-05 发布日期:2010-01-05

Mosaic Algorithm of Image Based on SURF and KLT Track

LUO San-ding, HE Jun-yao   

  1. (School of Information Science and Engineering, Central South University, Changsha 410083)
  • Received:1900-01-01 Revised:1900-01-01 Online:2010-01-05 Published:2010-01-05

摘要: 针对现有图像拼接精度不高和速度慢的问题,提出一种图像自动拼接算法。采用特征向量实现图像序列完全自动排序,把特征向量作为图像中的运动目标,利用KLT跟踪算法计算特征点的偏移量,从而得到图像之间精确的单应性变换矩阵,给出一种基于视觉特征的色彩融合方法实现图像的无缝拼接。实验证明该算法提高了匹配的精度和速度,能够实现自动排序,并具有较好的鲁棒性。

关键词: 图像拼接, 图像匹配, SURF算法, 图像变换

Abstract: Aiming at the low precision and slow speed of registration, this paper propose an algorithm for automatic mosaic of image sequence. Using SURF vector is to judge if two images are overlapped and ascertain the relationship of the overlapped images. The detected features are regarded as moving objects, located by the KLT track algorithm, and accurate homography matrix between the two images is obtained. It proposes a color fusion method to achieve seamless splicing based on visual feature. Experimental results show that the precision and speed of registration are improved and the algorithm is robust.

Key words: image mosaic, image matching, SURF algorithm, image transformation

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