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An aircraft surface damage region rapid division method

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Abstract

In order to realize the division of damage region accurately and efficiently, an aircraft surface damage region rapid division method is proposed in this paper. Gaussian convolution is introduced to realize the feature representation of damaged image by fusing the gray difference of neighborhood pixels represented by distance weight. Through the definition of the nearest pixel distance sum, the various structural damage morphologies are transformed into the common feature distribution, and based on this, the neighborhood Gaussian feature threshold division criteria is defined. Then, the one-way optimization algorithm is designed to realize the aircraft surface damage region rapid division. Finally, the method is verified by the aircraft surface damage image instances. The results show that compared with the gray entropy threshold division methods, the damage region obtained by the proposed method is complete, the damage region details are better preserved, and the influence of regional interference factors such as damage adjacent regions and brightness changes are eliminated. And the operation efficiency of the proposed method is obviously better than the multi-dimensional threshold method with similar division effect. For diversified damage image instances, when the optimization step is within the critical value, all the optimization operations can reach the optimal threshold. Thus, the aircraft surface damage region division is realized accurately and efficiently, which will provide the technical support for intelligent damage detection and damage analysis.

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Data Availability Statement

All data generated or analysed during this study are included in this published article and its supplementary information files.

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Funding

This work was supported in part by the Aeronautical Science Foundation of China (No.20151067003) and the Fundamental Research Funds for the Central Universities

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Authors and Affiliations

  1. College of Aeronautical Engineering, Civil Aviation University of China, Tianjin, 300300, China

    Shuyu Cai & Lizhong Shi

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  1. Shuyu Cai
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  2. Lizhong Shi
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Correspondence to Shuyu Cai.

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Cai, S., Shi, L. An aircraft surface damage region rapid division method. Multimed Tools Appl 82, 28117–28142 (2023). https://doi.org/10.1007/s11042-022-14323-8

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  • DOI: https://doi.org/10.1007/s11042-022-14323-8

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