# Compensation-Based Full-Filed Thermal Homogenization for Contrast Enhancement in Long Pulse Thermographic Imaging

**Authors:** Yoonjae Chung, Chunyoung Kim, Seongmin Kang, Wontae Kim, Hyunkyu Suh

PMC · DOI: 10.3390/s25071969 · 2025-03-21

## TL;DR

This paper introduces a new thermographic technique using halogen lamps and compensation methods to improve defect detection in industrial materials.

## Contribution

The novel contribution is the development of ATC and TRC compensation methods for enhancing thermal contrast in long pulse thermography.

## Key findings

- The proposed technique achieved up to 42 dB SNR improvement for severe subsurface defects.
- A quantitative evaluation method using SNR-based models was developed for accurate defect depth estimation.
- The approach simplifies defect assessment by eliminating complex amplitude and phase transformations.

## Abstract

Non-destructive testing (NDT) plays a crucial role in ensuring the structural integrity and safety of industrial facilities and components. Long pulse thermography (LPT), a form of active thermographic testing (ATT), has gained attention for its ability to detect subsurface defects efficiently. However, non-uniform thermal excitation and environmental noise often degrade the accuracy of defect detection. This study proposes an advanced thermographic inspection technique incorporating a halogen array (HA) lamp and a compensation methodology to enhance the reliability of defect detection. Two compensation methods, namely absolute temperature compensation (ATC) and temperature rate compensation (TRC), were developed to correct non-uniform thermal loads and improve the defect contrast. Experimental validation was conducted on A-type and B-type mock-up specimens with artificial subsurface defects (10–90% depth). The results demonstrated a significant enhancement in the signal-to-noise ratio (SNR), reaching up to a 42 dB improvement in severe defects. Furthermore, a quantitative evaluation method was proposed using SNR-based defect depth estimation models, improving the accuracy of defect sizing. This approach eliminates the need for complex amplitude and phase transformations, enabling direct defect assessment from temperature thermograms.

## Full-text entities

- **Diseases:** LPT (MESH:D000094024), injury to (MESH:D014947), NDT (MESH:D013736), A1 (MESH:C537088), ATC (MESH:D005902)
- **Chemicals:** ATC (-), halogen (MESH:D006219), TE- (MESH:D013691), polymer (MESH:D011108)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Figures

26 figures with captions in the complete paper: https://tomesphere.com/paper/PMC11991320/full.md

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Source: https://tomesphere.com/paper/PMC11991320