Abstract
A method based on the properties of orientation fields is
presented for the estimation of a set of symbolic descriptors from
nondegenerate linear orientation fields, modeled by two-dimensional
first-order phase portraits. It was previously shown that flow
orientation is sufficient to characterize a flow pattern and locate its
critical point position. A linear estimator is designed to estimate
nondegenerate phase portraits. A classification scheme based on their
local properties-curl, divergence, and deformation-is developed. Some
experimental results are reported
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