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Boundary detection in piecewise homogeneous textured images

Casadei, Stefano and Mitter, Sanjoy and Perona, Pietro (1992) Boundary detection in piecewise homogeneous textured images. In: Second European Conference on Computer Vision — ECCV'92. Lecture Notes in Computer Science. No.588. Springer , New York, pp. 174-183. ISBN 978-3-540-55426-4.

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We address the problem of scale selection in texture analysis. Two different scale parameters, feature scale and statistical scale, are defined. Statistical scale is the size of the regions used to compute averages. We define the class of homogeneous random functions as a model of texture. A dishomogeneity function is defined and we prove that it has useful asymptotic properties in the limit of infinite statistical scale. We describe an algorithm for image partitioning which has performed well on piecewise homogeneous synthetic images. This algorithm is embedded in a redundant pyramid and does not require any ad-hoc information. It selects the optimal statistical scale at each location in the image.

Item Type:Book Section
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URLURL TypeDescription ReadCube access
Perona, Pietro0000-0002-7583-5809
Additional Information:© Springer-Verlag Berlin Heidelberg 1992. Research supported by Airforce grant AFOSR-89-0276-C and ARO grant DAAL03-86-K-0171, Center for Intelligent Control Systems.
Funding AgencyGrant Number
Air Force Office of Scientific Research (AFOSR)AFOSR-89-0276-C
Army Research Office (ARO)DAAL 03-86-K-0171
Subject Keywords:Texture Analysis; Thermodynamic Limit; Statistical Scale; Boundary Detection; Image Descriptor
Series Name:Lecture Notes in Computer Science
Issue or Number:588
Record Number:CaltechAUTHORS:20140730-101725409
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:47666
Deposited By: Caroline Murphy
Deposited On:05 Aug 2014 23:47
Last Modified:10 Nov 2021 17:48

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