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A Scale-Space Medialness Transform Based on Boundary Concordance Voting

Xu, Ming and Pycock, David (1999) A Scale-Space Medialness Transform Based on Boundary Concordance Voting. Journal of Mathematical Imaging and Vision, 11 (3). pp. 277-299. ISSN 0924-9907

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URL of Published Version: http://www.springerlink.com/content/p85254p265v04862/fulltext.pdf

Identification Number/DOI: 10.1023/A:1008312821522

The Concordance-based Medial Axis Transform (CMAT) presented in this paper is a multiscale medial axis (MMA) algorithm that computes the medial response from grey-level boundary measures. This non-linear operator responds only to symmetric structures, overcoming the limitations of linear medial operators which create “side-lobe” responses for symmetric structures and respond to edge structures. In addition, the spatial localisation of the medial axis and the identification of object width is improved in the CMAT algorithm compared with linear algorithms. The robustness of linear medial operators to noise is preserved in our algorithm. The effectiveness of the CMAT is accredited to the concordance property described in this paper. We demonstrate the performance of this method with test figures used by other authors and medical images that are relatively complex in structure. In these complex images the benefit of the improved response of our non-linear operator is clearly visible.

Type of Work:Article
Date:December 1999 (Publication)
School/Faculty:Schools (1998 to 2008) > School of Engineering
Department:Electronic and Electrical Engineering
Additional Information:

The original publication is available at www.springerlink.com

Keywords:image analysis, medial axis, multiscale, shape representation
Subjects:TK Electrical engineering. Electronics Nuclear engineering
Institution:University of Birmingham
Copyright Holders:Springer Netherlands
ID Code:22
Refereed:YES
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