Comparative analysis on thermal non-destructive testing imagery applying Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT); Infrared Physics & Technology; Vol. 85
| Parent link: | Infrared Physics & Technology Vol. 85.— 2017.— [P. 163-169] |
|---|---|
| Autor corporatiu: | |
| Altres autors: | , , , |
| Sumari: | Title screen Thermal and infrared imagery creates considerable developments in Non-Destructive Testing (NDT) area. Here, a thermography method for NDT specimens inspection is addressed by applying a technique for computation of eigen-decomposition which refers as Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT). The proposed approach uses a shorter computational alternative to estimate covariance matrix and Singular Value Decomposition (SVD) to obtain the result of Principal Component Thermography (PCT) and ultimately segments the defects in the specimens applying color based K-medoids clustering approach. The problem of computational expenses for high-dimensional thermal image acquisition is also investigated. Three types of specimens (CFRP, Plexiglas and Aluminium) have been used for comparative benchmarking. The results conclusively indicate the promising performance and demonstrate a confirmation for the outlined properties. Режим доступа: по договору с организацией-держателем ресурса |
| Idioma: | anglès |
| Publicat: |
2017
|
| Matèries: | |
| Accés en línia: | https://doi.org/10.1016/j.infrared.2017.06.008 |
| Format: | Electrònic Capítol de llibre |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=657908 |
MARC
| LEADER | 00000naa0a2200000 4500 | ||
|---|---|---|---|
| 001 | 657908 | ||
| 005 | 20250123161353.0 | ||
| 035 | |a (RuTPU)RU\TPU\network\24736 | ||
| 090 | |a 657908 | ||
| 100 | |a 20180329d2017 k||y0engy50 ba | ||
| 101 | 0 | |a eng | |
| 135 | |a drcn ---uucaa | ||
| 181 | 0 | |a i | |
| 182 | 0 | |a b | |
| 200 | 1 | |a Comparative analysis on thermal non-destructive testing imagery applying Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT) |f B. Yousefi [et al.] | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 24 tit.] | ||
| 330 | |a Thermal and infrared imagery creates considerable developments in Non-Destructive Testing (NDT) area. Here, a thermography method for NDT specimens inspection is addressed by applying a technique for computation of eigen-decomposition which refers as Candid Covariance-Free Incremental Principal Component Thermography (CCIPCT). The proposed approach uses a shorter computational alternative to estimate covariance matrix and Singular Value Decomposition (SVD) to obtain the result of Principal Component Thermography (PCT) and ultimately segments the defects in the specimens applying color based K-medoids clustering approach. The problem of computational expenses for high-dimensional thermal image acquisition is also investigated. Three types of specimens (CFRP, Plexiglas and Aluminium) have been used for comparative benchmarking. The results conclusively indicate the promising performance and demonstrate a confirmation for the outlined properties. | ||
| 333 | |a Режим доступа: по договору с организацией-держателем ресурса | ||
| 461 | |t Infrared Physics & Technology | ||
| 463 | |t Vol. 85 |v [P. 163-169] |d 2017 | ||
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
| 610 | 1 | |a термический анализ | |
| 610 | 1 | |a изображения | |
| 610 | 1 | |a термография | |
| 610 | 1 | |a неразрушающий контроль | |
| 701 | 1 | |a Yousefi |b B. |g Bardia | |
| 701 | 1 | |a Sfarra |b S. |c specialist in the field of non-destructive testing |c Researcher of Tomsk Polytechnic University |f 1979- |g Stefano |3 (RuTPU)RU\TPU\pers\38660 | |
| 701 | 1 | |a Ibarra-Castanedo |b C. |g Clemente | |
| 701 | 1 | |a Maldague |b X. |g Xavier | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Исследовательская школа физики высокоэнергетических процессов |c (2017- ) |3 (RuTPU)RU\TPU\col\23551 |
| 801 | 2 | |a RU |b 63413507 |c 20180329 |g RCR | |
| 856 | 4 | |u https://doi.org/10.1016/j.infrared.2017.06.008 | |
| 942 | |c CF | ||