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A curve tracing algorithm using level set based affine transform

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

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.
Original languageEnglish
Pages (from-to)181-196
JournalPattern Recognition Letters
Volume28
Issue number2
DOIs
Publication statusPublished - 15 Jan 2007

Research Keywords

  • Affine transform
  • Fuzzy curve-tracing (FCT) algorithm
  • Level set method
  • Pattern thinning
  • Skeletonization

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