Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Gao Feng; Zhao Yuantao; Shangguan Fujun; Chen Xinfeng; Li Wenge; Xu Yanlong; Rong Xiancheng; Shi Shanshan; Yang Zhiyuan; Qu Wendong; Yu Zhonghan

doi:10.2478/amns-2024-0914

Applied Mathematics and Nonlinear Sciences (Jan 2024)

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

Gao Feng,
Zhao Yuantao,
Shangguan Fujun,
Chen Xinfeng,
Li Wenge,
Xu Yanlong,
Rong Xiancheng,
Shi Shanshan,
Yang Zhiyuan,
Qu Wendong,
Yu Zhonghan

Affiliations

Gao Feng: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Zhao Yuantao: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Shangguan Fujun: Zhejiang Libang Hexin Intelligent Braking System Co. LTD, Wenzhou, Zhejiang, 325400, China.
Chen Xinfeng: Ruian College, Wenzhou Polytechnic, Wenzhou, Zhejiang, 325200, China.
Li Wenge: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Xu Yanlong: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Rong Xiancheng: Shengtong Intelligent Machinery Equipment (Shanghai) Co., LTD, Shanghai, 201400, China.
Shi Shanshan: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Yang Zhiyuan: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Qu Wendong: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.
Yu Zhonghan: Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, China.

DOI: https://doi.org/10.2478/amns-2024-0914
Journal volume & issue: Vol. 9, no. 1

Abstract

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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.

Published in Applied Mathematics and Nonlinear Sciences

ISSN: 2444-8656 (Online)
Publisher: Sciendo
Country of publisher: Poland
LCC subjects: Science: Mathematics
Website: https://sciendo.com/journal/AMNS

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