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The Perceptual Organization of Texture Flow: A Contextual Inference Approach
April 2003 (vol. 25 no. 4)
pp. 401-417
ASCII Text
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Ohad Ben-Shahar, Steven W. Zucker, "The Perceptual Organization of Texture Flow: A Contextual Inference Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 4, pp. 401-417, April, 2003.
 
 
BibTex
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@article{ 10.1109/TPAMI.2003.1190568,
author = {Ohad Ben-Shahar and Steven W. Zucker},
title = {The Perceptual Organization of Texture Flow: A Contextual Inference Approach},
journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence},
volume = {25},
number = {4},
issn = {0162-8828},
year = {2003},
pages = {401-417},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2003.1190568},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Pattern Analysis and Machine Intelligence
TI - The Perceptual Organization of Texture Flow: A Contextual Inference Approach
IS - 4
SN - 0162-8828
SP401
EP417
EPD - 401-417
A1 - Ohad Ben-Shahar,
A1 - Steven W. Zucker,
PY - 2003
KW - Texture flow
KW - perceptual organization
KW - social conformity of a line
KW - good continuation
KW - texture segmentation
KW - line discontinuities
KW - point singularities
KW - shading flow
KW - local parallelism
KW - orientation diffusion
KW - tangential curvature
KW - normal curvature
KW - relaxation labeling.
VL - 25
JA - IEEE Transactions on Pattern Analysis and Machine Intelligence
ER -
 

Abstract—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.

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Index Terms:
Texture flow, perceptual organization, social conformity of a line, good continuation, texture segmentation, line discontinuities, point singularities, shading flow, local parallelism, orientation diffusion, tangential curvature, normal curvature, relaxation labeling.
Citation:
Ohad Ben-Shahar, Steven W. Zucker, "The Perceptual Organization of Texture Flow: A Contextual Inference Approach," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 4, pp. 401-417, April 2003, doi:10.1109/TPAMI.2003.1190568
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