往复式涡流C扫描行间错位图像复原校正方法

Research on the interline dislocation image restoration correction method based on Reciprocating vortex C scan system

摘要:

在高频涡流检测系统往复式扫描检测过程中，由于存在奇偶行间错位而引起图像模糊现象，针对这一问题，在C扫描高频涡流检测系统基础上，分析了往复式涡流扫描行间错位的成因，设计了一种自适应维纳滤波的图像复原校正算法；该算法可有效地处理复原带电线缆狭缝裂纹以及碳纤维复合材料编织纹理的扫描图像，解决了高频往复式扫描的奇偶行间错位而引起的图像模糊失真问题，通过实验比较了不同图像，分别运用包括自适应维纳滤波复原校正等四种算法，复原处理图像的PSNR计算值分别是24.918dB、22.9326dB、23.7126dB和24.8218dB，实验结果表明所设计的算法对峰值信噪比处理性能有较大提升，验证了其可行性与可靠性；该算法既融合了单程隔行扫描的涡流成像结果准确性，又具备往复式逐行扫描成像速度快效率高的特点；上述检测方法亦在项目制教学中得到的推广和应用。

Abstract:

According to the high frequency eddy current testing system based on C-scan, the image blur phenomenon caused by the mismatch between odd and even rows in the reciprocating scanning detection, the image restoration and correction algorithm of adaptive Wiener filtering are designed, and that the causes based on the misalignment between lines are analyzed. The algorithm can effectively process and restore the scan images which the slit and cracks are in the energized wires or braided texture of carbon fiber composites. Moreover, the algorithm can effectively solve the high frequency reciprocating scan parity inter-row fuzzy image distortion caused by misalignment of problem. The feasibility and reliability of the proposed method are verified by comparing the peak signal-to-noise ratio processed by different image restoration algorithms. According to the four algorithms including adaptive Wiener filter restoration and correction are used respectively, the PSNR calculated values of the restored images were 24.918dB, 22.9326dB, 23.7126dB and 24.8218dB, respectively. Experimental results show that the performance of PSNR processing can be greatly improved by the proposed algorithm. Also, the feasibility and reliability are verified. The effective fusion one-way interleaved eddy current imaging results are accurate, reciprocating progressive scan imaging speed characteristics of high efficiency. The proposed method has also been popularized and applied in project-based teaching.