OHAD BEN-SHAHAR

Senior Academic

The perceptual organization of texture flow

A contextual inference approach

Ohad Ben-Shahar, Steven W. Zucker

Locally parallel dense patterns-sometimes called texture flows-define a perceptually coherent structure of particular significance to perceptual organization. We argue that with applications ranging from image segmentation and edge classification to shading analysis and shape interpretation, texture flows deserve attention equal to edge segment grouping and curve completion. This paper develops the notion of texture flow from a geometrical point of view to argue that local measurements of such structures must incorporate two curvatures. We show how basic theoretical considerations lead to a unique model for the local behavior of the flow and to a notion of texture flow "good continuation." This, in turn, translates to a specification of consistency constraints between nearby flow measurements which we use for the computation of globally (piecewise) coherent structure through the contextual framework of relaxation labeling. We demonstrate the results on synthetic and natural images.

Publication language English
Pages 401-417
Journal IEEE Transactions on Pattern Analysis and Machine Intelligence
Volume 25
Issue number 4
Publication status Published - 01.04.2003

Keywords

Good continuation
Line discontinuities
Local parallelism
Normal curvature
Orientation diffusion
Perceptual organization
Point singularities
Relaxation labeling
Shading flow
Social conformity of a line
Tangential curvature
Texture flow
Texture segmentation

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Computational Theory and Mathematics
Applied Mathematics
Artificial Intelligence
Access to Document
10.1109/TPAMI.2003.1190568
Other files and links
Link to publication in Scopus