Applied Mathematics and Nonlinear Sciences
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Journal

Applied Mathematics and Nonlinear Sciences


Volume & Issue

Volume 9, Issue 1


Published on

May 3, 2024


Pages


DOI

10.2478/amns-2024-0914
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Article

Laser Descaling Area Recognition Method Based on LabVIEW and Machine Vision

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Authors

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


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.


Keywords

LabVIEW, Machine vision, Color feature extraction, Threshold segmentation, Morphological processing, OTSU, 03D10


Citation

Gao, F., Zhao, Y., Shangguan, F., Chen, X., Li, W., Xu, Y., Rong, X., Shi, S., Yang, Z., Qu, W., & Yu, Z. (2024). Laser descaling area recognition method based on labview and machine vision. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-0914
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