DocumentCode :
2874896
Title :
Stability analysis of medial axis transform under relative Hausdorff distance
Author :
Choi, Sung Woo ; Lee, Seong Whan
Author_Institution :
Center for Artificial Vision Res., Korea Univ., Seoul, South Korea
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
135
Abstract :
Medial axis transform (MAT) is a basic tool for shape analysis. However, in spite of its usefulness, it has some drawbacks, one of which is its instability under the boundary perturbation. We show that, although medial axis transform is unstable with respect to standard measures such as the Hausdorff distance, it is stable in a measure called relative Hausdorff distance for some “smoothed out” injective domains. In fact, we obtain an upper bound of the relative Hausdorff distance of the MAT of an injective domain with respect to the MAT of an arbitrary domain which is in small Hausdorff distance from the original injective domain. One consequence of the above result is that, by approximating a given domain with injective domains, we can extract the most “essential part” of the MAT within the prescribed error bound in Hausdorff distance. This introduces a new pruning strategy with precise error estimation. We illustrate our results with an example
Keywords :
feature extraction; numerical stability; transforms; Hausdorff distance; boundary perturbation; feature extraction; injective domain; medial axis transform; shape analysis; stability analysis; upper bound; Application software; Biology computing; Character recognition; Error analysis; Feature extraction; Fingerprint recognition; Research initiatives; Shape; Stability analysis; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.903503
Filename :
903503
Link To Document :
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