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Vector Field Analysis for Oriented Patterns
September 1994 (vol. 16 no. 9)
pp. 946-950

Presents a method, based on the properties of vector fields, for the estimation of a set of symbolic descriptors (node, saddle, star-node, improper-node, center, and spiral) from linear orientation fields. Planar first-order phase portraits are used to model the linear orientation fields. A weighted linear estimator is developed to estimate linear phase portraits, using only the flow orientation. A classification scheme for planar first-order phase portraits, based on their local properties: curl, divergence, and deformation is developed. The authors present results of experiments on noise-added synthetic flow patterns and real oriented textures.

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Index Terms:
flow visualisation; computer vision; image texture; estimation theory; vector field analysis; oriented patterns; symbolic descriptors; saddle; star-node; improper-node; center; spiral; linear orientation fields; planar first-order phase portraits; weighted linear estimator; flow orientation; curl; divergence; deformation; noise-added synthetic flow patterns; real oriented textures; fluid flow visualisation
Citation:
C.F. Shu, R.C. Jain, "Vector Field Analysis for Oriented Patterns," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 16, no. 9, pp. 946-950, Sept. 1994, doi:10.1109/34.310692
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