Abstract
In this paper, we present a two-stage method to extract the accurate and smooth skeleton of a specified object in the gray image based on geometric characteristics of the boundary. In the first stage, according to the statistical intensity disparity between the sample points and the object, an energy function is constructed, and then a novel segmentation model is proposed to extract any specified objects in the gray image by the variational method. In the second stage, on the basis of the segmentation, an improved skeleton extraction algorithm is given in virtue of the shortest path connection approach. Some examples show the robustness and insensitivity of the presented algorithm to the perturbation and noise, respectively.
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Yang, Z., Guo, F., Dong, P. (2012). Skeleton Extraction of a Specified Object in the Gray Image Based on Geometric Features. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34038-3_23
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DOI: https://doi.org/10.1007/978-3-642-34038-3_23
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34037-6
Online ISBN: 978-3-642-34038-3
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