Multiscale medial axis through a complete set of optimal scale ridges

Ming Xu; David Pycock

doi:10.1109/ICIP.1999.819621

Multiscale medial axis through a complete set of optimal scale ridges

Ming Xu, David Pycock

University of Birmingham

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

This paper presents an algorithm to extract a complete set of optimal scale ridges from the medialness scale space. The result is the multiscale medial axis. This algorithm differs from the previous implementations of optimal scale ridge in that it searches for the local maximum with respect to scale, rather than the global maximum. Therefore a single position is allowed to belong to separate axis segments at different scales; large scale features no longer dominate small scale features.

Original language	English
Title of host publication	Proceedings - IEEE International Conference on Image Processing
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	390-394
Number of pages	5
ISBN (Print)	0-7803-5467-2
DOIs	https://doi.org/10.1109/ICIP.1999.819621
Publication status	Published - Oct 1999
Externally published	Yes

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10.1109/ICIP.1999.819621

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title = "Multiscale medial axis through a complete set of optimal scale ridges",

abstract = "This paper presents an algorithm to extract a complete set of optimal scale ridges from the medialness scale space. The result is the multiscale medial axis. This algorithm differs from the previous implementations of optimal scale ridge in that it searches for the local maximum with respect to scale, rather than the global maximum. Therefore a single position is allowed to belong to separate axis segments at different scales; large scale features no longer dominate small scale features.",

author = "Ming Xu and David Pycock",

year = "1999",

month = oct,

doi = "10.1109/ICIP.1999.819621",

language = "English",

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AU - Pycock, David

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N2 - This paper presents an algorithm to extract a complete set of optimal scale ridges from the medialness scale space. The result is the multiscale medial axis. This algorithm differs from the previous implementations of optimal scale ridge in that it searches for the local maximum with respect to scale, rather than the global maximum. Therefore a single position is allowed to belong to separate axis segments at different scales; large scale features no longer dominate small scale features.

AB - This paper presents an algorithm to extract a complete set of optimal scale ridges from the medialness scale space. The result is the multiscale medial axis. This algorithm differs from the previous implementations of optimal scale ridge in that it searches for the local maximum with respect to scale, rather than the global maximum. Therefore a single position is allowed to belong to separate axis segments at different scales; large scale features no longer dominate small scale features.

U2 - 10.1109/ICIP.1999.819621

DO - 10.1109/ICIP.1999.819621

M3 - Conference Proceeding

SN - 0-7803-5467-2

SP - 390

EP - 394

BT - Proceedings - IEEE International Conference on Image Processing

PB - Institute of Electrical and Electronics Engineers Inc.

ER -

Multiscale medial axis through a complete set of optimal scale ridges

Abstract

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