• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2014, Vol. 36 ›› Issue (4): 741-745.

• 论文 • Previous Articles     Next Articles

Image mosaic based on robust iterative optimization     

DU Peiming1,XING Shuo1,2   

  1. (1.School of Electrical Engineering & Information,Anhui University of Technology,Ma’anshan 243032;2.School of Electrical Engineering,Tongling University,Tongling 244061,China)
  • Received:2012-10-24 Revised:2013-01-21 Online:2014-04-25 Published:2014-04-25

Abstract:

  Aiming at the requirements of keeping edges in a straight line and improving the mosaic precision, an image mosaic algorithm based on robust iterative optimization is proposed.Firstly,SIFT feature matching algorithm is employed to extract features with invariance. Secondly, inlier matching points are obtained accurately through the homography matrix that is estimated according to RANSAC robust algorithm. Thirdly, the homography matrix is reestimated utilizing least square method by treating inliers as parameters. Finally, more inliers are recomputed until converge based on robust iterative optimization. Experimental results show that, with the proposed method, edges are maintained as a straight line and the precision of image mosaic is greatly improved.                                         

Key words: SIFT feature matching;RANSAC robust estimation;leastsquares estimation;iterative optimization