2D registration based on contour matching for partial matching images

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 p...

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Bibliographic Details
Published inJournal of Central South University Vol. 21; no. 12; pp. 4553 - 4562
Main Authors Zhang, Jian-wei, Huang, Da-cheng, Gui, Jiang-qin, Ye, Wen-zhong
Format Journal Article
LanguageEnglish
Published Heidelberg Central South University 01.12.2014
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ISSN2095-2899
2227-5223
DOI10.1007/s11771-014-2460-z

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Summary: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.
ISSN:2095-2899
2227-5223
DOI:10.1007/s11771-014-2460-z