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Fuzzy border distance transforms and their use in 2D skeletonization | IEEE Conference Publication | IEEE Xplore

Fuzzy border distance transforms and their use in 2D skeletonization

Publisher: IEEE

Abstract:

Segmentation is always a difficult task in image analysis. In this paper, we propose a solution to computing distance transforms in images with fuzzy object borders. The ...View more

Abstract:

Segmentation is always a difficult task in image analysis. In this paper, we propose a solution to computing distance transforms in images with fuzzy object borders. The difference from a standard distance transform is in the initialisation, which takes the fuzziness of the border into account. As an example of its usefulness, the new fuzzy border distance transform is used in skeletonization.
Date of Conference: 11-15 August 2002
Date Added to IEEE Xplore: 10 December 2002
Print ISBN:0-7695-1695-X
Print ISSN: 1051-4651
Publisher: IEEE
Conference Location: Quebec City, QC, Canada

References

References is not available for this document.