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Image Fusion Based Enhancement of Eddy Current Nondestructive Evaluation

机译:基于图像融合的涡流无损评估增强

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摘要

Recent advances in instrumentation and signal processing allow the acquisition of eddy current NDE signal in the form of c-san images. A technique is presented in this paper to enhance eddy current inspection based on image fusion, based on multi-spectral, multi-temporal, and multi-resolution image fusion. The developed algorithm is motivated by human eye perception of colored objects. Mathematically it is based on the IHS transform, the PCA transform as well as the a trous wavelet analysis. Quality of resulting fusion images is evaluated based on statistical measures.
机译:仪器和信号处理的最新进展允许以c-san图像的形式获取涡流NDE信号。本文提出了一种基于多光谱,多时间,多分辨率图像融合的增强基于图像融合的涡流检测技术。所开发的算法是由人眼对有色物体的感知所激发的。在数学上,它基于IHS变换,PCA变换以及trous小波分析。基于统计量评估所得融合图像的质量。

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