A modified Hausdorff distance using edge gradient for robust object matching

Conventional object matching algorithms based on Hausdorff distance mostly use edge position information to compute distances. In this paper we represent an edge point using its position and the strength of its gradient to define a 3D distance function. We propose a modified Hausdorff distance based...

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Bibliographic Details
Published in2009 International Conference on Image Analysis and Signal Processing pp. 250 - 254
Main Authors Zhi-Qiang Zhou, Bo Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2009
Subjects
Computer vision
Distance function
Distance transform
Edge gradient
Hausdorff distance
High definition video
Image edge detection
Magnetohydrodynamics
Noise level
Noise robustness
Object matching
Object recognition
Position measurement
Robust control
Testing
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ISBN9781424439874
1424439876
ISSN2156-0110
DOI10.1109/IASP.2009.5054620

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Summary:Conventional object matching algorithms based on Hausdorff distance mostly use edge position information to compute distances. In this paper we represent an edge point using its position and the strength of its gradient to define a 3D distance function. We propose a modified Hausdorff distance based on this 3D distance function, and investigate its application in object matching problems. Finally, experimental comparisons are performed with conventional methods. At this stage, we tested different methods on the images with different levels of noise. Their sensitivities to geometric distortion are also evaluated against image rotation and scale change. Experimental results show that the proposed algorithm is more robust and reliable.
ISBN:9781424439874
1424439876
ISSN:2156-0110
DOI:10.1109/IASP.2009.5054620