Vector field analysis for oriented patterns

Author

Shu, Chiao-fe ; Jain, Ramesh C.

Author_Institution

Virage Inc., San Diego, CA, USA

Volume

16

Issue

9

fYear

1994

fDate

9/1/1994 12:00:00 AM

Firstpage

946

Lastpage

950

Abstract

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

Keywords

computer vision; estimation theory; flow visualisation; image texture; center; curl; deformation; divergence; flow orientation; fluid flow visualisation; improper-node; linear orientation fields; noise-added synthetic flow patterns; oriented patterns; planar first-order phase portraits; real oriented textures; saddle; spiral; star-node; symbolic descriptors; vector field analysis; weighted linear estimator; Equations; Fluid flow; Fluid flow measurement; Image motion analysis; Layout; Pattern analysis; Phase estimation; Spirals; Vectors; Visualization;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/34.310692

Filename

310692