• Infrared and Laser Engineering
  • Vol. 44, Issue 2, 775 (2015)
Li Zhijun1、*, Liu Songlin2, Niu Zhaodong2, and Chen Zengping2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    DOI: Cite this Article
    Li Zhijun, Liu Songlin, Niu Zhaodong, Chen Zengping. Hausdorff distance template matching method based on gradient phase and significance constraints[J]. Infrared and Laser Engineering, 2015, 44(2): 775 Copy Citation Text show less
    References

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    [2] Wang Guogang, Shi Zelin. Hausdorff distance based on Riemannian metric and its application in image matching[J]. Infrared and Laser Engineering, 2011, 40(2): 365-369. (in Chinese)

    [3] Liu Songlin, Li Zhijun, Niu Zhaodong, et al. Forward looking template preparation of flat target based on multi-sources data fusion[J]. Laser & Infrared, 2013. 43(2): 217-220. (in Chinese)

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    [5] Bai Lianfa, Han Jing, Zhang Yi, et al. Registration algorithm of infrared and visible images based on improved gradient normalized mutual information and particle swarm optimization[J]. Infrared and Laser Engineering, 2012, 41(1): 248-254. (in Chinese)

    [6] Daniel P Huttenlocher, Gregory A Klanderman, William J Rucklidge. Comparing images using the Hausdorff distance[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1993, 15(9): 850-863.

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    [9] Barrow H G, Tenenbaum J M, Bolles R C, et al. Parametric correspondence and chamfer matching: two new techniques for image matching[C]//International Joint Conference on Artificial Intelligence, 1977: 659-663.

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    Li Zhijun, Liu Songlin, Niu Zhaodong, Chen Zengping. Hausdorff distance template matching method based on gradient phase and significance constraints[J]. Infrared and Laser Engineering, 2015, 44(2): 775
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