2D registration based on contour matching for partial matching images

ZHANG Jian-wei(张见威), HUANG Da-cheng(黄达承), GUI Jiang-qin(桂姜琴), YE Wen-zhong(叶文忠)

(School of Computer Science and Engineering, South China University of Technology, Guangzhou 510006, China)

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.

Key words:image registration; generalized hausdorff distance; partial matching image