AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY

AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY

The aim of this study is to estimate the velocity of fatigue crack growth (crack growth rate - CGR) from the texture in SEM images of crack surfaces. A simple and quick method is based on fitting training images as a linear combination of several small subimages selected from the images themselves....

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Bibliographic Details
Main Authors: Hynek Lauschmann, Ivan Nedbal
Format: Article
Language:English
Published: Slovenian Society for Stereology and Quantitative Image Analysis 2011-05-01
Series:Image Analysis and Stereology
Subjects:
decomposition
fatigue
fractography
image texture
regression
Online Access:http://www.ias-iss.org/ojs/IAS/article/view/706
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spelling doaj-bdebf905a6344c98bcb15aaa1fa0ffd52020-11-24T23:14:23ZengSlovenian Society for Stereology and Quantitative Image AnalysisImage Analysis and Stereology1580-31391854-51652011-05-0121213914410.5566/ias.v21.p139-144678AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHYHynek LauschmannIvan NedbalThe aim of this study is to estimate the velocity of fatigue crack growth (crack growth rate - CGR) from the texture in SEM images of crack surfaces. A simple and quick method is based on fitting training images as a linear combination of several small subimages selected from the images themselves. The size of basic subimages is derived from autocorrelation functions of the image in row and column direction. The selection of basic subimages is based on two indicators: "appeal" evaluating their shape content, and mutual coefficient of correlation. The method is easy to implement and quick in computations, while results of testing application are fully comparable with best ones obtained within textural fractography of fatigue failures.http://www.ias-iss.org/ojs/IAS/article/view/706decompositionfatiguefractographyimage textureregression
collection DOAJ
language English
format Article
sources DOAJ
author Hynek Lauschmann
Ivan Nedbal
spellingShingle Hynek Lauschmann
Ivan Nedbal
AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
Image Analysis and Stereology
decomposition
fatigue
fractography
image texture
regression
author_facet Hynek Lauschmann
Ivan Nedbal
author_sort Hynek Lauschmann
title AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
title_short AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
title_full AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
title_fullStr AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
title_full_unstemmed AUTO-SHAPE ANALYSIS OF IMAGE TEXTURES IN FRACTOGRAPHY
title_sort auto-shape analysis of image textures in fractography
publisher Slovenian Society for Stereology and Quantitative Image Analysis
series Image Analysis and Stereology
issn 1580-3139
1854-5165
publishDate 2011-05-01
description The aim of this study is to estimate the velocity of fatigue crack growth (crack growth rate - CGR) from the texture in SEM images of crack surfaces. A simple and quick method is based on fitting training images as a linear combination of several small subimages selected from the images themselves. The size of basic subimages is derived from autocorrelation functions of the image in row and column direction. The selection of basic subimages is based on two indicators: "appeal" evaluating their shape content, and mutual coefficient of correlation. The method is easy to implement and quick in computations, while results of testing application are fully comparable with best ones obtained within textural fractography of fatigue failures.
topic decomposition
fatigue
fractography
image texture
regression
url http://www.ias-iss.org/ojs/IAS/article/view/706
work_keys_str_mv AT hyneklauschmann autoshapeanalysisofimagetexturesinfractography
AT ivannedbal autoshapeanalysisofimagetexturesinfractography
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