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Analysis algorithm for surface crack detection by thermography with UV light excitation
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0001-7748-0565
University West, Department of Engineering Science, Division of Production Systems. (PTW)ORCID iD: 0000-0001-6933-375X
2016 (English)In: Quantitative InfraRed Thermography 2016: Abstracts / [ed] Kaczmarek, M. & Bujnowski, A., Gdańsk, Poland: Publishing Gdańsk University of Technology , 2016, p. 160-165Conference paper, Published paper (Refereed)
Abstract [en]

Surface crack defects can be detected by IR thermograpgy due to the high absorption of energy within the crack cavity. It is often difficult to detect the defect in the raw data, since the signal easily drowns in the background. It is therefore important to have good analysis algorithms that can reduce the background and enhance the defect. Here an analysis algorithm is presented which significantly increases the signal to noise ratio of the defects and reduces the image sequence from the camera to one image.

Place, publisher, year, edition, pages
Gdańsk, Poland: Publishing Gdańsk University of Technology , 2016. p. 160-165
National Category
Production Engineering, Human Work Science and Ergonomics Manufacturing, Surface and Joining Technology Metallurgy and Metallic Materials
Research subject
ENGINEERING, Manufacturing and materials engineering; Production Technology
Identifiers
URN: urn:nbn:se:hv:diva-10130DOI: 10.21611/qirt.2016.014ISI: 000399006500017OAI: oai:DiVA.org:hv-10130DiVA, id: diva2:1045609
Conference
13th Quantitative InfraRed Thermography, Gdańsk, Poland, July 4-8, 2016
Available from: 2016-11-10 Created: 2016-11-10 Last updated: 2022-11-08Bibliographically approved

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Broberg, PatrikRunnemalm, Anna

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