Multi-target full-pixel segmentation method for aerospace material damage detection image

Abstract

The invention discloses a multi-target full-pixel segmentation method for an aerospace material damage detection image. The method comprises the following steps: extracting typical transient thermal 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 reservation and edge maintenance; combining a multi-objective optimization algorithm with the segmentation model to achieve one-time segmentation on the defect; defining the sparseness level according to the Euclidean distance, and adjusting the weight vector based on the individuals with the large sparseness level; and obtaining a segmented image of the damage defect in the infrared detection image. According to the method, the infrared thermal image sequence is reconstructed by utilizing the main characteristics, the infrared reconstructed image of the defect is obtained, and the defect characteristics of the test piece are reflected. The result image obtained by performing target segmentation on the infrared reconstructed image can not only achieve noise elimination, but also ensure detail reservation and edge maintenance, so that the image segmentation precision is improved.

Description

technical field [0001] The invention belongs to the field of damage detection application and pattern recognition technology, and more specifically, the invention relates to a multi-object full-pixel segmentation method of an aerospace material damage detection image. 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...

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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