Abstract
A skeleton extracted by distance map is located at geometrical center, but it is discrete, on the other hand, we can get a continuous skeleton with morphological algorithm, but the skeleton is not located at the geometrical center of the object image. To get a continuous skeleton that is located at geometrical center of the object image, a continuous skeletonization method based on distance transform is proposed in this paper. At first, the distance function is calculated with respect to the object boundary, which is defined as a new indicator for the skeletonization. Then, a thinning algorithm with five deletion templates is given, which can be applied to get a continuous and centered skeleton indicated by distance map. The performance of the proposed algorithm is compared with existing algorithms, experimental results confirm the superiority of our proposed approach.
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Yan, TQ., Zhou, CX. (2012). A Continuous Skeletonization Method Based on Distance Transform. In: Huang, DS., Gupta, P., Zhang, X., Premaratne, P. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2012. Communications in Computer and Information Science, vol 304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31837-5_37
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DOI: https://doi.org/10.1007/978-3-642-31837-5_37
Publisher Name: Springer, Berlin, Heidelberg
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