A curve tracing algorithm using level set based affine transform
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 181-196 |
Journal / Publication | Pattern Recognition Letters |
Volume | 28 |
Issue number | 2 |
Publication status | Published - 15 Jan 2007 |
Link(s)
Abstract
Extracting centrelines from an unordered data set is an important problem in image processing and pattern recognition. The key strategy of existing methods is to find a curve placed at the middle of the data points. However, if the data set contains noise, these algorithms will converge to a local minimum. In this paper, we propose a new technique, which combines the level set and affine transform methods. In this approach, the user-defined initial curve is driven towards the object data. Experimental results show that the proposed method can enhance the performance of a class of curve extraction algorithms effectively. © 2006 Elsevier B.V. All rights reserved.
Research Area(s)
- Affine transform, Fuzzy curve-tracing (FCT) algorithm, Level set method, Pattern thinning, Skeletonization
Citation Format(s)
A curve tracing algorithm using level set based affine transform. / Lam, B. S Y; Yan, H.
In: Pattern Recognition Letters, Vol. 28, No. 2, 15.01.2007, p. 181-196.
In: Pattern Recognition Letters, Vol. 28, No. 2, 15.01.2007, p. 181-196.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review