Computational Expenditure Reduction in Pseudo-Gradient Image Parameter Estimation

  • Alexandr Tashlinskii
Conference paper

DOI: 10.1007/3-540-44862-4_48

Part of the Lecture Notes in Computer Science book series (LNCS, volume 2658)
Cite this paper as:
Tashlinskii A. (2003) Computational Expenditure Reduction in Pseudo-Gradient Image Parameter Estimation. In: Sloot P.M.A., Abramson D., Bogdanov A.V., Gorbachev Y.E., Dongarra J.J., Zomaya A.Y. (eds) Computational Science — ICCS 2003. ICCS 2003. Lecture Notes in Computer Science, vol 2658. Springer, Berlin, Heidelberg

Abstract

An approach enabling to reduce computational expenses at pseudogradient estimation of image parameters based on control of goal function local sample volume is proposed. Local sample volume variation during the process of parameter estimation occurs automatically in correspondence with a preassigned criterion, for instance, sample correlation coefficient. It is shown that for the problems of image mutual spatial deformation parameter estimation, computational expenses can be reduced several times as many.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Alexandr Tashlinskii
    • 1
  1. 1.Ulyanovsk State Technical UniversityUlyanovskRussia

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