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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Chan, T.F., Vese, L.A.: Active Contour without Edges. IEEE Transactions on Image Processing 10, 266–277 (2001)
Blum, H.: A Transformation for Extracting New Descriptions of Shape, Models for Perception of Speech and Visual Form. In: Wathen-Dunn, W. (ed.), pp. 362–380. MIT Press (1967)
Blum, H.: Biological Shape and Visual Science. J. Theor. Biol. 38, 205–287 (1973)
Torsello, A., Hancock, E.R.: A Skeletal Measure of 2D Shape Similarity. Computer Vision and Image Understanding 95, 1–29 (2004)
Kuijper, A., Olsen, O.F., Giblin, P., Nielsen, M.: Alternative 2D Shape Representations using the Symmetry Set. J. Math. Imaging Vis. 26, 127–147 (2006)
Giblin, P.J., Kimia, B.B.: On the Local Form and Transitions of Symmetry Sets. Medial Axes, and Shocks. International Journal of Computer Vision 54, 143–157 (2003)
Zhao, H.K.: A Fast Sweeping Method for Eikonal equations. Mathematics of Computation 74, 603–627 (2004)
Nixon, M., Aguado, A.: Feature Extraction and Image Processing. Academic Press, London (2008)
Goh, W.-B., Chan, K.-Y.: Structural and Textural Skeletons for Noisy Shapes. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds.) ISVC 2005. LNCS, vol. 3804, pp. 454–461. Springer, Heidelberg (2005)
Goh, W., Chan, K.: The Multiresolution Gradient Vector Field Skeleton. Pattern Recognition 40, 1255–1269 (2007)
Klette, G.: Skeletons in Digital Image Processing. Technical Report CITR-TR-112, Centre for Image Technology and Robotics of The University of Auckland (2002)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, Orlando (1983)
Siddiqi, K., Bouix, S., Tannenbaum, A., Zucker, S.W.: The Hamilton-Jacobi skeleton. In: The Proceedings of the Seventh IEEE International Conference on Computer Vision 2, pp. 828–834 (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)