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In Situ Surface Temperature Measurement in a Conveyor Belt Furnace via Inline Infrared Thermography

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Shutterless solution for simultaneous focal plane array temperature estimation and nonuniformity correction in

Yanpeng Cao, Christel-Loic Tisse

|October 3, 2013

Summary

This study introduces a new single-image method to fix thermal drift and nonuniformity in uncooled long-wave infrared (LWIR) microbolometer systems by estimating focal plane array (FPA) temperature variations.

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Area of Science:

Infrared Imaging Technology
Optical Engineering
Sensor Systems

Background:

Uncooled long-wave infrared (LWIR) microbolometer imaging systems suffer from thermal drift and spatial nonuniformity due to focal plane array (FPA) temperature fluctuations.
These temperature variations significantly degrade image quality and measurement accuracy.

Purpose of the Study:

To develop a novel single-image processing approach for simultaneous FPA temperature variance estimation and compensation of temperature-dependent nonuniformity.
To improve the robustness and performance of LWIR microbolometer imaging systems in varying thermal environments.

Main Methods:

Empirical behavioral models were derived from controlled thermal calibrations to link microbolometer response to FPA temperature variations.
A method was developed to estimate optimal FPA temperature by minimizing global image intensity variance, assuming spatial pixel dependency.
An appropriate nonuniformity correction (NUC) profile was inferred using the estimated FPA temperature.

Main Results:

The proposed temperature-adaptive NUC method effectively compensates for temperature-dependent nonuniformity in LWIR microbolometer images.
The approach demonstrated robustness in realistic IR images acquired by a 640 × 512 pixels system operating under significant temperature changes.

Conclusions:

The developed single-image processing technique offers a practical solution for real-time nonuniformity correction in uncooled LWIR microbolometer systems.
This method enhances the reliability and accuracy of thermal imaging, particularly in dynamic temperature conditions.