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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Format: | Article |
Language: | English |
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Slovenian Society for Stereology and Quantitative Image Analysis
2011-05-01
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Series: | Image Analysis and Stereology |
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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. |
first_indexed | 2024-04-13T11:51:50Z |
format | Article |
id | doaj.art-9e10c630d6ca45039880a722d94d0368 |
institution | Directory Open Access Journal |
issn | 1580-3139 1854-5165 |
language | English |
last_indexed | 2024-04-13T11:51:50Z |
publishDate | 2011-05-01 |
publisher | Slovenian Society for Stereology and Quantitative Image Analysis |
record_format | Article |
series | Image Analysis and Stereology |
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 |