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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Published in | Journal of Central South University Vol. 21; no. 12; pp. 4553 - 4562 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Heidelberg
Central South University
01.12.2014
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Subjects | |
Online Access | Get full text |
ISSN | 2095-2899 2227-5223 |
DOI | 10.1007/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. |
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ISSN: | 2095-2899 2227-5223 |
DOI: | 10.1007/s11771-014-2460-z |