Signal to noise studies on thermographic data with fabricated defects for defense structures | Zendy

Joseph N. Zalameda | Zendy; N. Rajic | Zendy; Marc Genest | Zendy

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Signal to noise studies on thermographic data with fabricated defects for defense structures

Author(s) -

Joseph N. Zalameda,

N. Rajic,

Marc Genest

Publication year - 2006

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.669134

Subject(s) - thermography , computer science , noise (video) , signal processing , signal to noise ratio (imaging) , signal (programming language) , flash (photography) , image processing , asset (computer security) , artificial intelligence , nondestructive testing , electronic engineering , computer vision , engineering , image (mathematics) , computer hardware , telecommunications , optics , computer security , infrared , medicine , physics , radiology , programming language , digital signal processing

There is a growing international interest in thermal inspection systems for asset life assessment and management of defense platforms. The efficacy of flash thermography is generally enhanced by applying image processing algorithms to the observations of raw temperature. Improving the defect signal to noise ratio (SNR) is of primary interest to reduce false calls and allow for easier interpretation of a thermal inspection image. Several factors affecting defect SNR were studied such as data compression and reconstruction using principal component analysis and time window processing.

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