Transactions of Nanjing University of Aeronautics & Astronautics
Multi-dimensional and Multi-threshold Airframe Damage Region Division Method Based on Correlation Optimization
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Abstract:
In order to obtain the image of airframe damage region and provide the input data for aircraft intelligent maintenance， a multi-dimensional and multi-threshold airframe damage region division method based on correlation optimization is proposed. On the basis of airframe damage feature analysis， the multi-dimensional feature entropy is defined to realize the full fusion of multiple feature information of the image， and the division method is extended to multi-threshold to refine the damage division and reduce the impact of the damage adjacent region’s morphological changes on the division. Through the correlation parameter optimization algorithm， the problem of low efficiency of multi-dimensional multi-threshold division method is solved. Finally， the proposed method is compared and verified by instances of airframe damage image. The results show that compared with the traditional threshold division method， the damage region divided by the proposed method is complete and accurate， and the boundary is clear and coherent， which can effectively reduce the interference of many factors such as uneven luminance， chromaticity deviation， dirt attachment， image compression， and so on. The correlation optimization algorithm has high efficiency and stable convergence， and can meet the requirements of aircraft intelligent maintenance.
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Project Supported:
The work was supported by the Aeronautical Science Foundation of China （No.20151067003）.
Clc Number:
V267
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