MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES
In this paper a contactless method for the detection of an object’s defect by applying the thermovision camera is proposed and implemented. The thermal image processing is realised in two perpendicular directions and the analysis of the results is presented. An advantage of the proposed method is a...
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University of Niš
2014-08-01
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Series: | Facta Universitatis. Series: Mechanical Engineering |
Online Access: | http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/109 |
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doaj-f8e57ea7ac71449f9ef2e07d724d78112020-11-25T03:00:54ZengUniversity of NišFacta Universitatis. Series: Mechanical Engineering0354-20252335-01642014-08-01122123136134MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGESBoban AndjelkovićBiljana DjordjevićNataša JovanovićIn this paper a contactless method for the detection of an object’s defect by applying the thermovision camera is proposed and implemented. The thermal image processing is realised in two perpendicular directions and the analysis of the results is presented. An advantage of the proposed method is a simple and efficient application of the standard techniques, which are not specially designed for thermal image processing. By comparing the analysis of results obtained by this method with those obtained by already known methods, the applicability of this method could be confirmed. Using the powerful software packages and applications the thermovision images are being transformed into digital records that can be processed on personal computers. The conducted experiments show that this contactless method is very efficient in the detection of the defects in forms of cavities and damages caused by overload or by material fatigue.http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/109 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Boban Andjelković Biljana Djordjević Nataša Jovanović |
spellingShingle |
Boban Andjelković Biljana Djordjević Nataša Jovanović MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES Facta Universitatis. Series: Mechanical Engineering |
author_facet |
Boban Andjelković Biljana Djordjević Nataša Jovanović |
author_sort |
Boban Andjelković |
title |
MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES |
title_short |
MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES |
title_full |
MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES |
title_fullStr |
MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES |
title_full_unstemmed |
MODELING OF DEFECTS DETECTION BY ANALYZING THERMAL IMAGES |
title_sort |
modeling of defects detection by analyzing thermal images |
publisher |
University of Niš |
series |
Facta Universitatis. Series: Mechanical Engineering |
issn |
0354-2025 2335-0164 |
publishDate |
2014-08-01 |
description |
In this paper a contactless method for the detection of an object’s defect by applying the thermovision camera is proposed and implemented. The thermal image processing is realised in two perpendicular directions and the analysis of the results is presented. An advantage of the proposed method is a simple and efficient application of the standard techniques, which are not specially designed for thermal image processing. By comparing the analysis of results obtained by this method with those obtained by already known methods, the applicability of this method could be confirmed. Using the powerful software packages and applications the thermovision images are being transformed into digital records that can be processed on personal computers. The conducted experiments show that this contactless method is very efficient in the detection of the defects in forms of cavities and damages caused by overload or by material fatigue. |
url |
http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/109 |
work_keys_str_mv |
AT bobanandjelkovic modelingofdefectsdetectionbyanalyzingthermalimages AT biljanadjordjevic modelingofdefectsdetectionbyanalyzingthermalimages AT natasajovanovic modelingofdefectsdetectionbyanalyzingthermalimages |
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1724696082234998784 |