Computer Vision-Based Detection of Patterns in Textile Microscopy Images

  • Mihaela MARIN “Dunarea de Jos” University of Galati, Romania
  • Florin-Bogdan MARIN “Dunarea de Jos” University of Galati, Romania
Keywords: computer vision, textile microscopy images, small batch training

Abstract

The analysis and detection of patterns in textile materials are a critical challenge in modern manufacturing, quality control, and automation processes. Traditional inspection methods, often reliant on manual observation, are not only time-consuming but also prone to inconsistencies. The need for a more precise, efficient, and scalable approach has driven interest in leveraging computer vision for this task. Computer vision systems, powered by advanced algorithms and machine learning models, offer the ability to process and interpret visual data from textile images at high speeds and with greater accuracy.

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References

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Published
2025-06-15
How to Cite
1.
MARIN M, MARIN F-B. Computer Vision-Based Detection of Patterns in Textile Microscopy Images. The Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science [Internet]. 15Jun.2025 [cited 2Oct.2025];48(2):5-. Available from: https://gup.ugal.ro/ugaljournals/index.php/mms/article/view/9233
Section
Articles

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