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July 15, 2026CoatingsOpen Access

Non-Invasive Coating Surface Defect Detection Through Visual Assessment and Multimodal Validation

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Authors

BABurak AĞGÜLKAKaan ARIK

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Overview

Randomized trial assesses coating inspection methods in diverse media, indicating potential for future enhancements.

Key Points

  • This research aims to establish a modular approach for validating non-invasive coating inspection techniques.
  • Introduced RGB imaging, visible and near-infrared spectroscopy, and physical parameter measurements of coatings.
  • Utilized a 48×48 image classifier on 93 distinct test images to evaluate performance.
  • Conducted sensitivity analysis with an EfficientNetB0 model using 224×224 images.
  • Achieved 78.49% accuracy and 78.99% balanced accuracy with the fixed-size image classifier.
  • The EfficientNetB0 model yielded an accuracy of 66.67% for higher-resolution images.
  • Reflective-scene reconstruction achieved a peak signal-to-noise ratio of 25.018 dB and a structural similarity index of 0.8947.

Cite This Study

AĞGÜL et al. (2026) studied this question.

synapsesocial.com/papers/6a57231a88b21df87547fedchttps://doi.org/10.3390/coatings16070829
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