Images registration based on mutual information and nonsubsampled contourlet transform

  • Authors:

  • Dandan Tian;Xian-bin Wen;Hai-xia Xu;Ming Lei

  • Affiliations:

  • Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China;Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China;Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China;Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, China

  • Venue:
  • AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
  • Year:
  • 2011

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Abstract

Aiming at the problem that how to improve the accuracy of image registration, this paper presents an approach for image registration based on mutual information and non-subsampled contourlet transform. First of all, the reference image and the floating image are decomposed with nonsubsampled contourlet transform. Secondly, register approximate component of the floating image from the highest level to the lowest level based mutual information. Finally, the new image is obtained. Experimental results on remote sensing images demonstrate that the presented method can improve the accuracy.