Volume 4 Issue 5
Oct.  2011
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HAN Guang-liang. Alignment between different source images by high frequency vector matching[J]. Chinese Optics, 2011, 4(5): 468-473.
Citation: HAN Guang-liang. Alignment between different source images by high frequency vector matching[J]. Chinese Optics, 2011, 4(5): 468-473.

Alignment between different source images by high frequency vector matching

  • Received Date: 21 Jul 2011
  • Rev Recd Date: 23 Aug 2011
  • Publish Date: 25 Oct 2011
  • This article proposes a construction method of vector model based on high frequency information of infrared and visible images, which can be applied to the image alignment between different wave bands(visible and infrared) to the same scene. First, the high frequency characteristic, that is a common characteristic of infrared and visibility images, is analyzed, and it is picked up from a model image. A vector model is constructed by manual interposing. Then, the vector model is performed a 3D transform by the real-time attitude information, and is projected into a 2D graph again, which can be used to carry out the characteristic searching, and achieve the image matching. Finally, matching experiments are performed, and the vector model after transform can complete the image target automatic recognition for different sources. The theoretical analysis and experiment results prove the efficiency and feasibility of this method, and show it popular to all kinds of image alignments that come from different image sources.

     

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