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Per-pixel emissivity correction for thermographic diagnostics in cultural heritage digital twins

A training-free method for emissivity correction in thermography is proposed, using image segmentation and material emissivity tables. It improves anomaly detection on heterogeneous surfaces, relevant for monitoring cultural heritage.

Why it matters

Relevant to condition monitoring of large infrastructure where precise diagnostics are needed.

Relevant to DT products

Original headline
Material-Segmented Per-Pixel Emissivity Correction for Thermographic Anomaly Detection in Cultural Heritage Digital Twins
Read the original: arXiv API — полнотекстовый поиск "digital twin"

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