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Local versus non-local computation of length of digitized curves

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Foundations of Software Technology and Theoretical Computer Science (FSTTCS 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 761))

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Abstract

We consider the problem of computing the length of a curve from digitized versions of the curve using parallel computation. Our aim is to study the inherent parallel computational complexity of this problem as a function of the digitization level. Precise formulations for the digitization, the parallel computation, and notions of local and nonlocal computations are given. We show that length cannot be computed locally from digitizations on rectangular tessellations. However, for a random tessellation and appropriate deterministic ones, we show that the length of straight line segments can be computed locally.

This work was supported in part by the U.S. Army Research Office under Contract DAAL03-86-K-0171, by the Dept. of the Navy under Air Force Contract F19628-90C-0002, and by the National Science Foundation under contract ECS-8552419.

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References

  1. H. Abelson, “Towards a theory of local and global computation,” Theoretical Computer Science, Vol. 6, pp. 41–67, 1978.

    Google Scholar 

  2. R.V. Ambartzumian, edt., Stochastic and Integral Geometry, Kluwer Academic Publishers, 1987.

    Google Scholar 

  3. A.J. Baddeley, “Stochastic geometry and image analysis,” in CWI Monographs, North Holland, 1986.

    Google Scholar 

  4. T.Y. Kong and A. Rosenfeld, “If we use 4-or 8-connectedness for both the objects and the background, the Euler characteristic is not locally computable,” Pattern Recognition Letters, Vol. 11, pp. 231–232, 1990.

    Google Scholar 

  5. J. Koplowitz and A. Bruckstein, “Design of perimeter estimators for digitized planar shapes,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 11, pp. 611–622, 1989.

    Google Scholar 

  6. C.N. Lee and A. Rosenfeld, “Simple Connectivity is Not Locally Computable for Connected 3D Images,” Computer Vision, Graphics, and Image Processing, Vol. 51, pp. 87–95, 1990.

    Google Scholar 

  7. M. Minsky and S. Papert, Perceptrons: An Introduction to Computational Geometry, The MIT Press, 1969.

    Google Scholar 

  8. U. Montanari, “A note on minimal length polygonal approximation to a digitized contour,” Communications of the ACM, Vol. 13, No. 1, 1970.

    Google Scholar 

  9. P.A.P. Moran, “Measuring the length of a curve,” Biometrika, Vol. 53, pp. 359–364, 1966.

    Google Scholar 

  10. L.A. Santalo, Integral Geometry and Geometric Probability. Volume 1 of Encyclopedia of Mathematics and its Applications, Addison-Wesley, Reading, MA, 1976.

    Google Scholar 

  11. H. Steinhaus, “Length, shape, and area,” Colloq. Mathemat., Vol. 3, pp. 1–13, 1954.

    Google Scholar 

  12. D. Stoyan, W.S. Kendall, and J. Mecke, Stochastic Geometry and Its Applications, Wiley series in probability and mathematical statistics, 1987.

    Google Scholar 

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Rudrapatna K. Shyamasundar

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© 1993 Springer-Verlag Berlin Heidelberg

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Kulkarni, S.R., Mitter, S.K., Richardson, T.J., Tsitsiklis, J.N. (1993). Local versus non-local computation of length of digitized curves. In: Shyamasundar, R.K. (eds) Foundations of Software Technology and Theoretical Computer Science. FSTTCS 1993. Lecture Notes in Computer Science, vol 761. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57529-4_45

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  • DOI: https://doi.org/10.1007/3-540-57529-4_45

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57529-0

  • Online ISBN: 978-3-540-48211-6

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