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首页> 外文期刊>IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control >Super-resolution image reconstruction for ultrasonic nondestructive evaluation
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Super-resolution image reconstruction for ultrasonic nondestructive evaluation

机译：超分辨率图像重建，用于超声无损评估

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摘要

Ultrasonic testing is one of the most successful nondestructive evaluation (NDE) techniques for the inspection of carbon-fiber-reinforced polymer (CFRP) materials. This paper discusses the application of the iterative backprojection (IBP) super-resolution image reconstruction technique to carbon epoxy laminates with simulated defects to obtain high-resolution images for NDE. Super-resolution image reconstruction is an approach used to overcome the inherent resolution limitations of an existing ultrasonic system. It can greatly improve the image quality and allow more detailed inspection of the region of interest (ROI) with high resolution, improving defect evaluation and accuracy. First, three artificially simulated delamination defects in a CFRP panel were considered to evaluate and validate the application of the IBP method. The results of the validation indicate that both the contrast-tonoise ratio (CNR) and the peak signal-to-noise ratio (PSNR) value of the super-resolution result are better than the bicubic interpolation method. Then, the IBP method was applied to the low-resolution ultrasonic C-scan image sequence with subpixel displacement of two types of defects (delamination and porosity) which were obtained by the micro-scanning imaging technique. The result demonstrated that super-resolution images achieved better visual quality with an improved image resolution compared with raw C-scan images.
机译：超声测试是用于检查碳纤维增强聚合物（CFRP）材料的最成功的无损评估（NDE）技术之一。本文讨论了迭代反投影（IBP）超分辨率图像重建技术在具有模拟缺陷的碳环氧层压板中的应用，从而获得NDE的高分辨率图像。超分辨率图像重建是一种用于克服现有超声系统固有分辨率限制的方法。它可以极大地改善图像质量，并允许以高分辨率对感兴趣区域（ROI）进行更详细的检查，从而改善缺陷评估和准确性。首先，考虑了CFRP面板中的三个人工模拟分层缺陷，以评估和验证IBP方法的应用。验证结果表明，超分辨率结果的对比度-色调比（CNR）和峰值信噪比（PSNR）值均优于双三次插值方法。然后，将IBP方法应用于具有通过微扫描成像技术获得的两种类型的缺陷（分层和孔隙率）的亚像素位移的低分辨率超声C扫描图像序列。结果表明，与原始C扫描图像相比，超分辨率图像具有更好的视觉质量，并且图像分辨率更高。

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