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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Main Authors: Boban Andjelković, Biljana Djordjević, Nataša Jovanović
Format: Article
Language:English
Published: University of Niš 2014-08-01
Series:Facta Universitatis. Series: Mechanical Engineering
Online Access:http://casopisi.junis.ni.ac.rs/index.php/FUMechEng/article/view/109
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spelling 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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