Abstract
In order to improve the accuracy of damage region division and eliminate the interference of damage adjacent region, the airframe damage region division method based on the structure tensor dynamic operator is proposed in this paper. The structure tensor feature space is established to represent the local features of damage images. It makes different damage images have the same feature distribution, and transform varied damage region division into consistent process of feature space division. On this basis, the structure tensor dynamic operator generation method is designed. It integrates with bacteria foraging optimization algorithm improved by defining double fitness function and chemotaxis rules, in order to calculate the parameters of dynamic operator generation method and realizing the structure tensor feature space division. And then the airframe damage region division is realized. The experimental results on different airframe structure damage images show that compared with traditional threshold division method, the proposed method can improve the division quality. The interference of damage adjacent region is eliminated. The information loss caused by over-segmentation is avoided. And it is efficient in operation, and consistent in process. It also has the applicability to different types of structural damage.
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Foundation item: the Aviation Science Foundation of China (No. 20151067003)
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Cai, S., Shi, L. Airframe Damage Region Division Method Based on Structure Tensor Dynamic Operator. J. Shanghai Jiaotong Univ. (Sci.) 27, 757–767 (2022). https://doi.org/10.1007/s12204-022-2498-2
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DOI: https://doi.org/10.1007/s12204-022-2498-2
Key words
- airframe damage region division
- dynamic operator
- structure tensor feature distribution
- double fitness function
- intelligent maintenance