Skeletonization of Ribbon-Like Shapes Based on a New Wavelet Function
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction of wavelets for width-invariant characterization of curves
Pattern Recognition Letters
Ribbon-like skeletonization based on contour reconstrction on intersection regions
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
Skeletonization based on high-level Markov random field
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
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This paper is an improvement on the characterization of edges. Using a novel wavelet function, it is proven that the maximum moduli of the wavelet transform (MMWT) of a curve produces two new symmetrical curves on both sides of the original with the same direction. The distance between the two curves is shown to be independent of the width d of the original curve if the scale s of the wavelet transform satisfies s≥d. This property provides a novel method of obtaining the skeletons of the curves in an image.