Extraction of Independent Structural Images for Principal Component Thermography
Thermography is a powerful tool for non-destructive testing of a wide range of materials. Thermography has a number of approaches differing in both experiment setup and the way the collected data are processed. Among such approaches is the Principal Component Thermography (PCT) method, which is base...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-03-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/3/459 |
| _version_ | 1818977253223038976 |
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| author | Dmitry Gavrilov Roman Gr. Maev |
| author_facet | Dmitry Gavrilov Roman Gr. Maev |
| author_sort | Dmitry Gavrilov |
| collection | DOAJ |
| description | Thermography is a powerful tool for non-destructive testing of a wide range of materials. Thermography has a number of approaches differing in both experiment setup and the way the collected data are processed. Among such approaches is the Principal Component Thermography (PCT) method, which is based on the statistical processing of raw thermal images collected by thermal camera. The processed images (principal components or empirical orthogonal functions) form an orthonormal basis, and often look like a superposition of all possible structural features found in the object under inspection—i.e., surface heating non-uniformity, internal defects and material structure. At the same time, from practical point of view it is desirable to have images representing independent structural features. The work presented in this paper proposes an approach for separation of independent image patterns (archetypes) from a set of principal component images. The approach is demonstrated in the application of inspection of composite materials as well as the non-invasive analysis of works of art. |
| first_indexed | 2024-12-20T16:24:48Z |
| format | Article |
| id | doaj.art-1bcdd8d4969e420ebb02befd86744fb5 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-20T16:24:48Z |
| publishDate | 2018-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-1bcdd8d4969e420ebb02befd86744fb52022-12-21T19:33:29ZengMDPI AGApplied Sciences2076-34172018-03-018345910.3390/app8030459app8030459Extraction of Independent Structural Images for Principal Component ThermographyDmitry Gavrilov0Roman Gr. Maev1Department of Physics, University of Windsor, Windsor, ON N9B 3P4, CanadaInstitute for Diagnostic Imaging Research, University of Windsor, Windsor, ON N9A 5R5, CanadaThermography is a powerful tool for non-destructive testing of a wide range of materials. Thermography has a number of approaches differing in both experiment setup and the way the collected data are processed. Among such approaches is the Principal Component Thermography (PCT) method, which is based on the statistical processing of raw thermal images collected by thermal camera. The processed images (principal components or empirical orthogonal functions) form an orthonormal basis, and often look like a superposition of all possible structural features found in the object under inspection—i.e., surface heating non-uniformity, internal defects and material structure. At the same time, from practical point of view it is desirable to have images representing independent structural features. The work presented in this paper proposes an approach for separation of independent image patterns (archetypes) from a set of principal component images. The approach is demonstrated in the application of inspection of composite materials as well as the non-invasive analysis of works of art.http://www.mdpi.com/2076-3417/8/3/459active thermographyprincipal component analysisimage processingnon-destructive evaluation |
| spellingShingle | Dmitry Gavrilov Roman Gr. Maev Extraction of Independent Structural Images for Principal Component Thermography Applied Sciences active thermography principal component analysis image processing non-destructive evaluation |
| title | Extraction of Independent Structural Images for Principal Component Thermography |
| title_full | Extraction of Independent Structural Images for Principal Component Thermography |
| title_fullStr | Extraction of Independent Structural Images for Principal Component Thermography |
| title_full_unstemmed | Extraction of Independent Structural Images for Principal Component Thermography |
| title_short | Extraction of Independent Structural Images for Principal Component Thermography |
| title_sort | extraction of independent structural images for principal component thermography |
| topic | active thermography principal component analysis image processing non-destructive evaluation |
| url | http://www.mdpi.com/2076-3417/8/3/459 |
| work_keys_str_mv | AT dmitrygavrilov extractionofindependentstructuralimagesforprincipalcomponentthermography AT romangrmaev extractionofindependentstructuralimagesforprincipalcomponentthermography |