- Tytuł:
- Processing of thermographic sequence using Principal Component Analysis
- Autorzy:
-
Świta, R.
Suszyński, Z. - Powiązania:
- https://bibliotekanauki.pl/articles/114604.pdf
- Data publikacji:
- 2015
- Wydawca:
- Stowarzyszenie Inżynierów i Techników Mechaników Polskich
- Tematy:
-
filtering
correlation
PCA
segmentation
thermal sequences - Opis:
- This paper describes application of the principal component analysis in relation to the thermal imaging contrast sequences, recorded with pulse excitation for three different objects. The aim of the study was to demonstrate that thermographic sequences contain an excessive number of data-distorting information about the characteristics of an object and that it is possible to reduce them. It has been shown that PCA can improve SNR, simplifies separation of areas with distinct features and allows determining their count, which is important, inter alia, with infrared image segmentation. The study shows examples of the results for a sequence of infrared registered for thin-layer-chromatography plate (SiO2 on glass) with separated analytes, the high power Si-eutectic-Mo thyristor structure with defects in eutectic, and the Al disk with cavities of different diameter and depth.
- Źródło:
-
Measurement Automation Monitoring; 2015, 61, 6; 215-218
2450-2855 - Pojawia się w:
- Measurement Automation Monitoring
- Dostawca treści:
- Biblioteka Nauki
Artykuł