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Guidelines for choosing optimal parameters of elasticity for snakes

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 970))

Abstract

This paper proposes a guidance in the process of choosing and using the parameters of elasticity of a snake in order to obtain a precise segmentation. A new two step procedure is defined based on upper and lower bounds on the parameters. Formulas, by which these bounds can be calculated for real images where parts of the contour may be missing, are presented. Experiments on segmentation of bone structures in X-ray images have verified the usefulness of the new procedure.

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References

  1. I. Cohen, L. D. Cohen and N. Ayache, ”Using Deformable Surfaces to Segment 3-D Images and Infer Differential Structures”, CVGIP: IMAGE UNDERSTANDING, Vol.56, No.2, September, pp.242–263, 1992.

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  2. M. Kass, A. Witkin and D. Terzopoulos, ”Snakes: Active Contour Models,” Proc. of Intern. Conf. on Comp. Vision, pp.259–268, London, 1987.

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  3. O. V. Larsen, P. Radeva and E. Martí, ”Calculating the Bounds on the Optimal Parameters of Elasticity for a Snake”, Technical report, Aalborg University, Laboratory of Image Analysis, Denmark, December, 1994.

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  4. O. V. Larsen, P. Radeva and E. Martí, ”Bounds on the Optimal Elasticity Parameters for a Snake”, Proceedings from 8th International Conference on Image Analysis and Processing, San Remo, Italy, 1995 (accepted).

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  5. R. Samadani, ”Adaptive Snakes: Control of Damping and Material Parameters”, SPIE Geometric Methods in Computer Vision, vol. 1570, 1991.

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Václav Hlaváč Radim Šára

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© 1995 Springer-Verlag Berlin Heidelberg

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Larsen, O.V., Radeva, P., Martí, E. (1995). Guidelines for choosing optimal parameters of elasticity for snakes. In: Hlaváč, V., Šára, R. (eds) Computer Analysis of Images and Patterns. CAIP 1995. Lecture Notes in Computer Science, vol 970. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-60268-2_286

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  • DOI: https://doi.org/10.1007/3-540-60268-2_286

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-60268-2

  • Online ISBN: 978-3-540-44781-8

  • eBook Packages: Springer Book Archive

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