Segmentation identification method for ultra-high-speed impact damage detection image

Abstract

The invention discloses a segmentation identification method for an ultra-high-speed impact damage detection image. The method comprises the following steps: extracting typical transient response of each type of defects; obtaining an infrared reconstruction image; combining a multi-objective optimization algorithm with the segmentation model to separate a background area and a defect area of the infrared reconstructed image; constructing an infrared image segmentation function under the guidance of three purposes of noise removal, detail retention and edge retention; combining a multi-objective optimization algorithm with the segmentation model to realize one-time segmentation of test piece defects in the infrared reconstructed image, and adjusting weight vectors according to preferences; and carrying out category division on the pixel points to obtain a final segmented image. According to the method, the collision damage area in the infrared reconstructed image is segmented according to the multi-objective optimization theory, the objective function is constructed for the noise problem and the edge blurring problem so as to improve the segmentation precision, the defect detection rate is high, the false detection rate is reduced, the damage defect area in the reconstructed image is effectively extracted, and quantitative research of complex ultra-high-speed impact damage is facilitated.

Description

technical field [0001] The invention belongs to the technical field of spacecraft maintenance support and on-orbit risk assessment. More specifically, the invention relates to a method for segmenting and recognizing ultra-high-speed impact damage detection images. Background technique [0002] During launch and in-orbit operation, spacecraft are extremely vulnerable to accidental impacts from various tiny objects, such as space junk fragments, tiny meteoroids, and peeled off coatings. In particular, the ever-increasing space junk debris is the most harmful to on-orbit spaceflight. Because the tiny debris has a very high impact speed (usually reaching several kilometers per second or even tens of kilometers per second), it is easy to cause various types of debris on the surface of the spacecraft. Hypervelocity impact damage, such as perforation, impact crater, spallation, spalling, etc., causes the structure of the spacecraft to be damaged or the function of the component to ...

AI Technical Summary

Problems solved by technology

If only the segmentation model is used, the weight coefficients corresponding to the objective functions to achieve the three segmentation performances when forming the segmentation function are to be determined, and continuous debugging is required to determine the weight coefficients to control the balance between each objective function, and the computational efficiency and universality of the algorithm The performance is low, and the segmentation quality of the final infrared reconstructed image cannot be guaranteed

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