Processing of thermographic sequence using Principal Component Analysis

• Autorzy: Świta R. , Suszyński Z.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

filtering; correlation; PCA; segmentation; thermal sequences

• Wydawca: Wydawnictwo PAK
• Czasopismo: Measurement Automation Monitoring
• Rocznik: 2015
• Tom: Vol. 61, No. 6
• Strony: 215--218
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr., wzory

Twórcy

autor

Świta R.

• University of Technology in Koszalin, Faculty of Multimedia Systems and Artificial Intelligence, Śniadeckich St. 2, 75-453 Koszalin, Poland

autor

Suszyński Z.

• University of Technology in Koszalin, Faculty of Multimedia Systems and Artificial Intelligence, Śniadeckich St. 2, 75-453 Koszalin, Poland

Bibliografia

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