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A curve tracing algorithm using level set based affine transform
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AI
DOI：10.1016/j.patrec.2006.07.001.png)
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Abstract
En 中文
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. (c) 2006 Elsevier B.V. All rights reserved.
Keywords:
fuzzy curve-tracing (FCT) algorithm
level set method
affine transform
pattern thinning
skeletonization
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