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Title: Robust object matching using a modified version of the hausdorff measure
Authors: Wang, Y
Baciu, G 
Keywords: Hausdorff Distance
Computer Vision
Object Matching
Issue Date: 2002
Publisher: World Scientific
Source: International journal of image and graphics, 2002, v. 2, no. 3, p. 361-373 How to cite?
Journal: International journal of image and graphics 
Abstract: The Hausdorff distance (HD) between planar sets of points is known to be an effective measure for determining the degree of resemblance between binary images. In this paper, we analyze the conventional HD measure and propose a new Robust HD (RHD) measure. The proposed RHD measure takes into account not only the location information of the edge points, but also other factors such as the total number of the edge points whose nearest neighbors are within a specified directed distance, spurious edge segments defined by a small number of points, outliers, and occlusions. Experimental results for both synthetic and real images show that the proposed RHD measure is more efficient than the conventional HD measure.
ISSN: 0219-4678
EISSN: 1793-6756
DOI: 10.1142/S0219467802000688
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