Image Registration Based on Hausdorff Distance

Niu Li-pi; Mao Shi-yi; Chen Wei

doi:10.3724/SP.J.1146.2005.00545

Volume 29 Issue 1

Jan. 2011

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Article Navigation > Journal of Electronics & Information Technology > 2007 > 29(1): 35-38

ZHAO Yan, ZHAO Lingjun, ZHANG Siqian, JI Kefeng, KUANG Gangyao. Few-Shot Class-Incremental SAR Image Target Recognition using Self-supervised Decoupled Dynamic Classifier[J]. Journal of Electronics & Information Technology, 2024, 46(10): 3936-3948. doi: 10.11999/JEIT231470

Citation:

Niu Li-pi, Mao Shi-yi, Chen Wei. Image Registration Based on Hausdorff Distance[J]. Journal of Electronics & Information Technology, 2007, 29(1): 35-38. doi: 10.3724/SP.J.1146.2005.00545

Citation:

Niu Li-pi, Mao Shi-yi, Chen Wei. Image Registration Based on Hausdorff Distance[J]. Journal of Electronics & Information Technology, 2007, 29(1): 35-38. doi: 10.3724/SP.J.1146.2005.00545

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Image Registration Based on Hausdorff Distance

doi: 10.3724/SP.J.1146.2005.00545

Received Date: 2005-05-16
Rev Recd Date: 2005-10-31
Publish Date: 2007-01-19

Abstract

Abstract

As for the RST transform in image registration, corresponding formula of box distance transform is dieduced. Compared with traditional formula of general affine Hausdorff box distance, search range of distance is reduced. The paper proposes regional Voronoi surface combining comparison of sliding windows when computing Hausdorff distance, characterized by reducing calculating-cost for Voronoi surface. It also has the advantages of eliminating trivial edges and preserving longer edges for calculating. Experimental results show that calculation speed of image regeistation based on Huasdorff distances is improved.

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References(1)

References

[1] Brown L G. A survey of image registration techniques[J].ACM Computing Surveys.1992, 24(4):325- [2] Fonseca L M G. Registration techniques for multisensor remotely sensed imagery[J].Photogrammetric Engineering Remote Sensing.1996, 62(9):1049- [3] Xia Minghui and Be de. Image registration by super-curves[J].IEEE Trans. on Image Processing.2004, 13(5):720- [4] Huttenlocher D P, Klanderman G A, and Rucklidge W J. Comparing images using the Hausdorff distance[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1993,15(9):850- [5] Rucklidge W J. Efficiently locating objects using the Hausdorff distance[J].International Journal of Computer Vision.1997, 24(3):251-

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