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.

Authors:

• Seong-Ho Song
• Ki-Seob Kim
• Seop-Hyeong Park
• Seon-Woo Lee

Keywords:

• Infrared camera
• Temperature Data compensation
• Environmental Ambient Temperature
• Electric Component

References:

[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