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Automated Defect Detection and Characterization on Pulse Thermography Images Using Computer Vision Techniques

Journal of ICT Research and Applications (JICTRA) · Vol. 13 No. 1 (2019) · pp. 63–78

DOI
10.5614/itbj.ict.res.appl.2019.13.1.5
ISSN
2338-5499, 2337-5787
Published
2019-04-30
Publisher
DRI - ITB
Language
eng

Abstract

Defect detection and characterization plays a vital role in predicting the life span of materials. Defect detection using appropriate inspection technologies at various phases has gained huge importance in metal production lines. It can be accomplished through wise application of non-destructive testing and evaluation (NDE). It is important to characterize defects at an early stage in order to be able to overcome them or take corrective measures. Pulse thermography is a modern NDE method that can be used for defect detection in metal objects. Only a limited amount of work has been done on automated detection and characterization of defects due to thermal diffusion. This paper proposes a system for automatic defect detection and characterization in metal objects using pulse thermography images as well as various image processing algorithms and mathematical tools. An experiment was carried out using a sequence of 250 pulse thermography images of an AISI 316 L stainless steel sheet with synthetic defects. The proposed system was able to detect and characterize defects sized 10 mm, 8 mm, 6 mm, 4 mm and 2 mm with an average accuracy of 96%, 95%, 84%, 77%, 54% respectively. The proposed technique helps in the effective and efficient characterization of defects in metal objects.

Keywords

Collaboration network of the authors

9 authors · 17 co-authorship links · 10 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Ramaiah Institute of Technology
  • Indira Gandhi Centre for Atomic Research
  • Presidency University
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Napa LakshmiPresidency University1
Sethu Selvi SelvanRamaiah Institute of Technology1
Sharath DelanthabettuIndira Gandhi Centre for Atomic Research1
Balasubramaniam VenkatramanIndira Gandhi Centre for Atomic Research1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Automated Defect Detection and Characterization on Pulse Thermography Images Using Computer Vision Techniques</dc:title>
	<dc:creator>V, Meghana</dc:creator>
	<dc:creator>Arakeri, Megha P.</dc:creator>
	<dc:creator>D, Sharath</dc:creator>
	<dc:creator>Menaka, M.</dc:creator>
	<dc:creator>Venkatraman, B.</dc:creator>
	<dc:subject xml:lang="en-US">defect size</dc:subject>
	<dc:subject xml:lang="en-US">detection</dc:subject>
	<dc:subject xml:lang="en-US">pulse thermography</dc:subject>
	<dc:subject xml:lang="en-US">stainless steel</dc:subject>
	<dc:subject xml:lang="en-US">thermal diffusion</dc:subject>
	<dc:description xml:lang="en-US">Defect detection and characterization plays a vital role in predicting the life span of materials. Defect detection using appropriate inspection technologies at various phases has gained huge importance in metal production lines. It can be accomplished through wise application of non-destructive testing and evaluation (NDE). It is important to characterize defects at an early stage in order to be able to overcome them or take corrective measures. Pulse thermography is a modern NDE method that can be used for defect detection in metal objects. Only a limited amount of work has been done on automated detection and characterization of defects due to thermal diffusion. This paper proposes a system for automatic defect detection and characterization in metal objects using pulse thermography images as well as various image processing algorithms and mathematical tools. An experiment was carried out using a sequence of 250 pulse thermography images of an AISI 316 L stainless steel sheet with synthetic defects. The proposed system was able to detect and characterize defects sized 10 mm, 8 mm, 6 mm, 4 mm and 2 mm with an average accuracy of 96%, 95%, 84%, 77%, 54% respectively. The proposed technique helps in the effective and efficient characterization of defects in metal objects.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2019-04-30</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
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	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/9093</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2019.13.1.5</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 13 No. 1 (2019); 63-78</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:source>10.5614/itbj.ict.res.appl.2019.13.1</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/9093/4176</dc:relation>
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