Journal of the Korean Institute of Telematics and Electronics S (전자공학회논문지S)
- Volume 34S Issue 11
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- Pages.93-101
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- 1997
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- 1226-5837(pISSN)
Object matching algorithms using robust hausdorff distance measure
Robust hausdorff 거리 척도를 이용한 물체 정합 알고리듬
Abstract
A Hausdorff distance (HD) is one of commonly used measures for object matching. It calculates the distance between two point sets of edges in two-dimensional binary images without establishing correspondences. This paper proposes three object matching algorithm using robust HD measures based on M-estimation, least trimmed square (LTS), and .alpha.-trimmed mean methods, which are more efficient than the conventional HD measures. By computer simulation with synthetic and real images, the matching performance of the conventional HD smeasures and proposed' robust ones is compared.
Keywords