A Geometric Functional for Derivatives Approximation

نویسندگان

  • Nir A. Sochen
  • Robert M. Haralick
  • Yehoshua Y. Zeevi
چکیده

We develop on estimation method, for the derivative field of an image based on Bayesian approach which is formulated in a geometric way. The Maximum probability configuration of the derivative field is found by a gradient descent method which leads to a non-linear diffusion type equation with added constraints. The derivatives are assumed to be piecewise smoothe and the Beltrami framework is used in the development of an adaptive smoothing process.

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تاریخ انتشار 1999