Evidence map›Paper›PMID 40218482›Full record

ArticleSensors (Basel, Switzerland)2025

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

Yoonjae Chung, Chunyoung Kim, Seongmin Kang, Wontae Kim, Hyunkyu Suh

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yoonjae ChungEco-Sustainable Energy Research Institute, Kongju National University, 1223-24 Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Republic of Korea.
Chunyoung KimenesG Co., Ltd. 8, Techno 10-ro, Yuseong-gu, Daejeon 34026, Republic of Korea.ORCID 0000-0002-4602-8696
Seongmin KangenesG Co., Ltd. 8, Techno 10-ro, Yuseong-gu, Daejeon 34026, Republic of Korea.
Wontae KimEco-Sustainable Energy Research Institute, Kongju National University, 1223-24 Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Republic of Korea.ORCID 0000-0002-9547-3868
Hyunkyu SuhDivision of Mechanical and Automotive Engineering, Kongju National University, 1223-24 Cheonan-daero, Seobuk-gu, Cheonan-si 31080, Republic of Korea.ORCID 0000-0003-0149-8210

Funding

Korea Ministry of SMEs and Startups RS-2023-00224854
6 · The paper itself

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.

Indexed as

active thermographic testingcompensation methoddefect detectabilitylong pulse thermographynon-destructive testingthermographic image

Identifiers

PMID40218482
PMCPMC11991320

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.