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A Multi-sensor Image Registration Method Based on Harris Corner Matching

  • Mingyue Ding
  • Lingling Li
  • Chengping Zhou
  • Chao Cai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4270)

Abstract

In this paper, a registration method based on Harris corners is proposed. It is composed of three steps. First, corner extraction and matching. We use the gray level information around the corner to setup the correspondences, then use the affine invariant of Mahalannobis distance to remove the mis-matched corner points. From this correspondence of the corner points, the affine matrix between two different images can be determined. Finally, map all points in the sensed image to the reference using the estimated transformation matrix and assign the corresponding gray level by re-sampling the image in the sensed image. Experiments with different types of multi-sensor images demonstrated the feasibility of our method.

Keywords

Image Registration Corner Point Registration Method Affine Matrix Harris Corner 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Mingyue Ding
    • 1
  • Lingling Li
    • 1
  • Chengping Zhou
    • 1
  • Chao Cai
    • 1
  1. 1.Institute for Pattern Recognition and Artificial Intelligence, “Image Processing and Intelligent Control” Key Laboratory of Education MinistryHuazhong University of Science and TechnologyWuhanChina

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