一种近红外图像校正方法、装置、设备及存储介质

By using array block calibration and image correction methods to eliminate abnormal images, perform geometric correction and grayscale fitting, the problems of geometric deformation and uneven intensity of near-infrared images during the selected area laser melting forming process are solved, thereby improving the reliability and accuracy of image monitoring.

CN122048747BActive Publication Date: 2026-07-17SHANGHAI AIRCRAFT MFG

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI AIRCRAFT MFG
Filing Date
2026-04-20
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

During selective laser melting forming, near-infrared images are easily affected by factors such as uneven camera response, lens attenuation, and dust in the chamber, resulting in geometric deformation and uneven grayscale distribution. This makes it impossible to truly reflect the thermal state of the formed plane, affecting subsequent defect identification and process optimization.

Method used

By using array test block calibration, fusion image correction and grayscale surface fitting, abnormal images are removed, geometric correction and grayscale value calculation are performed, a continuous surface is fitted, an intensity correction image is generated, and the signal inhomogeneity problem caused by fixed interference is eliminated.

Benefits of technology

It effectively eliminates the problem of uneven strength caused by geometric deformation and fixation interference due to camera tilt, improves the reliability and accuracy of near-infrared image monitoring, and truly reflects the thermal state of the formed plane.

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Abstract

本发明公开了一种近红外图像校正方法、装置、设备及存储介质。包括:在阵列试块打印过程中采集各近红外图像,对各近红外图像进行异常筛选与有效图像融合,得到融合图像;对融合图像进行几何校正,得到标准图像;基于标准图像进行灰度值计算和曲面拟合,得到强度校正图像,根据校正图像对近红外图像进行校正。通过异常筛选,能避免异常数据干扰校正,通过校正可消除相机倾斜带来的几何变形,剔除边缘无效区域;通过灰度值计算,能提取各试块的红外强度特征数据,曲面拟合可将离散数据转化为反映全局干扰分布的连续曲面;根据校正图像对近红外图像进行校正,抵消了固定干扰带来的强度不均匀问题,还原真实成形热状态,提升近红外图像的监测可靠性。
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