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2D registration based on contour matching for partial matching images

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Abstract

The mean Hausdorff distance, though highly applicable in image registration, does not work well on partial matching images. An improvement upon traditional Hausdorff-distance-based image registration method is proposed, which consists of the following two aspects. One is to estimate transformation parameters between two images from the distributions of geometric property differences instead of establishing explicit feature correspondences. This procedure is treated as the pre-registration. The other aspect is that mean Hausdorff distance computation is replaced with the analysis of the second difference of generalized Hausdorff distance so as to eliminate the redundant points. Experimental results show that our registration method outperforms the method based on mean Hausdorff distance. The registration errors are noticeably reduced in the partial matching images.

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Authors and Affiliations

  1. School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510006, China

    Jian-wei Zhang  (张见威), Da-cheng Huang  (黄达承), Jiang-qin Gui  (桂姜琴) & Wen-zhong Ye  (叶文忠)

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  1. Jian-wei Zhang  (张见威)
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  2. Da-cheng Huang  (黄达承)
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  3. Jiang-qin Gui  (桂姜琴)
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  4. Wen-zhong Ye  (叶文忠)
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Corresponding author

Correspondence to Jian-wei Zhang  (张见威).

Additional information

Foundation item: Project(61070090) supported by the National Natural Science Foundation of China; Project(2012J4300030) supported by the Guangzhou Science and Technology Support Key Projects, China

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Zhang, Jw., Huang, Dc., Gui, Jq. et al. 2D registration based on contour matching for partial matching images. J. Cent. South Univ. 21, 4553–4562 (2014). https://doi.org/10.1007/s11771-014-2460-z

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  • DOI: https://doi.org/10.1007/s11771-014-2460-z

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