Correction of Infrared Data for Electrical Components on a Board
In this paper, the data correction algorithm is suggested
when the environmental air temperature varies. To correct the infrared
data in this paper, the initial temperature or the initial infrared image
data is used so that a target source system may not be necessary. The
temperature data obtained from infrared detector show nonlinear
property depending on the surface temperature. In order to handle this
nonlinear property, Taylor series approach is adopted. It is shown that
the proposed algorithm can reduce the influence of environmental
temperature on the components in the board. The main advantage of
this algorithm is to use only the initial temperature of the components
on the board rather than using other reference device such as black
body sources in order to get reference temperatures.
[1] Gerald C. Holst, Electro-optical Imaging System Performance, SPIE
Optical Engineering Press, USA
[2] Goerald C. Holst, Common Sense Approach to Thermal Imaging, SPIE
Optical Engineering Press, USA
[3] Gerald C. Holst, CTesting and Evaluation of infrared imaging systems,
SPIE Optical Engineering Press, USA
[4] G. J. V. Wylen and R. E. Sontag, Fundamentals of classical
thermodynamics, John Wiley & Sons
[1] Gerald C. Holst, Electro-optical Imaging System Performance, SPIE
Optical Engineering Press, USA
[2] Goerald C. Holst, Common Sense Approach to Thermal Imaging, SPIE
Optical Engineering Press, USA
[3] Gerald C. Holst, CTesting and Evaluation of infrared imaging systems,
SPIE Optical Engineering Press, USA
[4] G. J. V. Wylen and R. E. Sontag, Fundamentals of classical
thermodynamics, John Wiley & Sons
@article{"International Journal of Electrical, Electronic and Communication Sciences:53509", author = "Seong-Ho Song and Ki-Seob Kim and Seop-Hyeong Park and Seon-Woo Lee", title = "Correction of Infrared Data for Electrical Components on a Board", abstract = "In this paper, the data correction algorithm is suggested
when the environmental air temperature varies. To correct the infrared
data in this paper, the initial temperature or the initial infrared image
data is used so that a target source system may not be necessary. The
temperature data obtained from infrared detector show nonlinear
property depending on the surface temperature. In order to handle this
nonlinear property, Taylor series approach is adopted. It is shown that
the proposed algorithm can reduce the influence of environmental
temperature on the components in the board. The main advantage of
this algorithm is to use only the initial temperature of the components
on the board rather than using other reference device such as black
body sources in order to get reference temperatures.", keywords = "Infrared camera, Temperature Data compensation,
Environmental Ambient Temperature, Electric Component", volume = "6", number = "2", pages = "182-3", }