<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32 marine steel for corrosion testing, applying color feature extraction and the OTSU thresholding method, refined with morphological processing, to accurately delineate descaling areas. We have engineered a laser descaling protocol with an impressive 97% recognition accuracy through the innovative application of LabVIEW technology combined with machine vision. Implementing this technology promises enhanced corrosion resistance for marine vessels, setting a new standard for maintenance efficiency and quality.</p>
</abstract>

Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32 marine steel for corrosion testing, applying color feature extraction and the OTSU thresholding method, refined with morphological processing, to accurately delineate descaling areas. We have engineered a laser descaling protocol with an impressive 97% recognition accuracy through the innovative application of LabVIEW technology combined with machine vision. Implementing this technology promises enhanced corrosion resistance for marine vessels, setting a new standard for maintenance efficiency and quality.

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision"}

Automated laser descaling represents a crucial advancement in marine maintenance, particularly in localized corrosion treatment. This research utilizes AH32...

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 30 mar 2024

Przyjęty: 15 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0914

Słowa kluczowe
LabVIEW, Machine vision, Color feature extraction, Threshold segmentation, Morphological processing, OTSU

© 2024 Feng Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Data publikacji: 03 maj 2024

Zakres stron: -

Otrzymano: 30 mar 2024

Przyjęty: 15 kwi 2024

DOI: https://doi.org/10.2478/amns-2024-0914

Słowa kluczoweLabVIEW, Machine vision, Color feature extraction, Threshold segmentation, Morphological processing, OTSU

© 2024 Feng Gao et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Słowa kluczowe
LabVIEW, Machine vision, Color feature extraction, Threshold segmentation, Morphological processing, OTSU