SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION

We use a method to estimate local orientations in the n-dimensional space from the covariance matrix of the gradient, which can be implemented either in the image space or in the Fourier space. In a second step, two methods allow us to detect sudden changes of orientation in images. The first one us...

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Main Authors: Dominique Jeulin, Maxime Moreaud
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2011-05-01
Series:Image Analysis and Stereology
Subjects:
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/843
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author Dominique Jeulin
Maxime Moreaud
author_facet Dominique Jeulin
Maxime Moreaud
author_sort Dominique Jeulin
collection DOAJ
description We use a method to estimate local orientations in the n-dimensional space from the covariance matrix of the gradient, which can be implemented either in the image space or in the Fourier space. In a second step, two methods allow us to detect sudden changes of orientation in images. The first one uses an index of confidence of the estimated orientation, and the second one the detection of minima of scalar products in a neighbourhood. This is illustrated on 2D Transmission Electrons Microscope images of cellulose cryofracture (to display the organisation of cellulose whiskers and the points of germination), and to 3D images of a TA6V alloy (lamellar microstructure) obtained by microtomography.
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spelling doaj.art-9e10c630d6ca45039880a722d94d03682022-12-22T02:48:01ZengSlovenian Society for Stereology and Quantitative Image AnalysisImage Analysis and Stereology1580-31391854-51652011-05-0127318319210.5566/ias.v27.p183-192815SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATIONDominique JeulinMaxime MoreaudWe use a method to estimate local orientations in the n-dimensional space from the covariance matrix of the gradient, which can be implemented either in the image space or in the Fourier space. In a second step, two methods allow us to detect sudden changes of orientation in images. The first one uses an index of confidence of the estimated orientation, and the second one the detection of minima of scalar products in a neighbourhood. This is illustrated on 2D Transmission Electrons Microscope images of cellulose cryofracture (to display the organisation of cellulose whiskers and the points of germination), and to 3D images of a TA6V alloy (lamellar microstructure) obtained by microtomography.http://www.ias-iss.org/ojs/IAS/article/view/8433D image analysiscovariance matrixFast Fourier Transformgradientoriented texturewatershed segmentation
spellingShingle Dominique Jeulin
Maxime Moreaud
SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
Image Analysis and Stereology
3D image analysis
covariance matrix
Fast Fourier Transform
gradient
oriented texture
watershed segmentation
title SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
title_full SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
title_fullStr SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
title_full_unstemmed SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
title_short SEGMENTATION OF 2D AND 3D TEXTURES FROM ESTIMATES OF THE LOCAL ORIENTATION
title_sort segmentation of 2d and 3d textures from estimates of the local orientation
topic 3D image analysis
covariance matrix
Fast Fourier Transform
gradient
oriented texture
watershed segmentation
url http://www.ias-iss.org/ojs/IAS/article/view/843
work_keys_str_mv AT dominiquejeulin segmentationof2dand3dtexturesfromestimatesofthelocalorientation
AT maximemoreaud segmentationof2dand3dtexturesfromestimatesofthelocalorientation