Concurrent studies on artworks by digital speckle pattern interferometry and thermographic analysis

Arena, Giovanni; Rippa, Massimo; Mormile, Pasquale; Grilli, Mariangela; Paturzo, Melania; Fatigati, Giancarlo; Ferraro, Pietro

doi:10.1117/12.2211379

Cited by 3 publications

(1 citation statement)

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“…They can also be grouped in an array of sensors called a focal plane array, in which each sensor provides information about the radiation at a single point, combining to produce a 2D thermal image. These advantages make sensors based on infrared thermography extremely useful in many different applications, such as electrical inspection [ 3 ], mechanical inspection [ 4 ], non-destructive testing [ 5 ], building inspection [ 6 ], industrial processes monitoring [ 7 ], medicine [ 8 ], cultural heritage diagnostics [ 9 ] or even pest detection [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

Infrared Thermography Sensor for Temperature and Speed Measurement of Moving Material

Usamentiaga

García

2017

Sensors

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Infrared thermography offers significant advantages in monitoring the temperature of objects over time, but crucial aspects need to be addressed. Movements between the infrared camera and the inspected material seriously affect the accuracy of the calculated temperature. These movements can be the consequence of solid objects that are moved, molten metal poured, material on a conveyor belt, or just vibrations. This work proposes a solution for monitoring the temperature of material in these scenarios. In this work both real movements and vibrations are treated equally, proposing a unified solution for both problems. The three key steps of the proposed procedure are image rectification, motion estimation and motion compensation. Image rectification calculates a front-parallel projection of the image that simplifies the estimation and compensation of the movement. Motion estimation describes the movement using a mathematical model, and estimates the coefficients using robust methods adapted to infrared images. Motion is finally compensated for in order to produce the correct temperature time history of the monitored material regardless of the movement. The result is a robust sensor for temperature of moving material that can also be used to measure the speed of the material. Different experiments are carried out to validate the proposed method in laboratory and real environments. Results show excellent performance.

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