• Journal of Infrared and Millimeter Waves
  • Vol. 33, Issue 1, 90 (2014)
DONG Xiao-Jie1、*, LIU Er-Qi2, YANG Jie1, and WU Qiang3
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    DOI: 10.3724/sp.j.1010.2014.00090 Cite this Article
    DONG Xiao-Jie, LIU Er-Qi, YANG Jie, WU Qiang. Visible and infrared automatic image registration based on SLER[J]. Journal of Infrared and Millimeter Waves, 2014, 33(1): 90 Copy Citation Text show less

    Abstract

    A novel approach to the problem of visible and infrared automatic image registration was proposed. The registration is performed by extracting affine covariant regions through same level extremal region (SLER) detector on a gray gradient image. Then, hypergraph matching algorithm was employed to obtain identical key points. The approach is especially suitable for registering multi-sensor infrared images where the quality of images or the corresponding edge maps are worse than the counterparts on a common optical image. Experiments performed on several challenging real image pair show that our proposed method achieves better performance than other approaches.
    DONG Xiao-Jie, LIU Er-Qi, YANG Jie, WU Qiang. Visible and infrared automatic image registration based on SLER[J]. Journal of Infrared and Millimeter Waves, 2014, 33(1): 90
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