食品包装密封缺陷的高对比度射频相关成像

Qi Tian, A. Ozguler, Scott A Morris, William D O 'brien
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引用次数: 1

摘要

先前使用脉冲回波超声检测封装密封通道缺陷的研究工作启发了后向散射振幅积分成像(BAI)和射频采样成像(RFS)技术。对前两种图像形成技术和新提出的技术进行了评估,并从相同的采集脉冲回波射频数据集进行了评估。所有图像都是用17.3 mhz的6.35 mm直径聚焦超声换能器(f/2,焦点处脉冲回波横向波束宽度为173 μm-6 dB, λ-86 μm)在矩形网格上扫描形成的,使封装材料保持在焦点区域。所有的技术都是用同样的一组实验室制造的通道缺陷进行评估的:塑料和铝箔三胺酸薄膜,其直径为6 μm, 10 μm, 15 μm, 38 μm和50 μm,充满水或空气。新的射频相关图像技术是由每个射频回波信号相对于不通过信道缺陷的参考信号的相关系数形成的。在处理之前,首先将采集到的射频回波信号加窗,使其在样品内匹配两种材料结合的范围,即发生信道缺陷的范围。对实验室制造的通道缺陷进行统计研究表明,相对于bai模式和rfs模式图像,RF相关技术对15 μm、10 μm和6 μm通道缺陷的检出率最高。它也是最有效的平滑背景,导致最大的CNR增强。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-contrast RF correlation imaging of defects in food package seals
Previous research work to detect channel defect in package seals using pulse-echo ultrasound inspired the Backscattered Amplitude Integral (BAI) imaging and RF sample (RFS) imaging techniques. The two former image formation techniques, as well as the newly proposed technique, are evaluated from the same acquired pulse-echo RF data set. All images are formed with a 17.3-MHz 6.35-mm-diameter focused ultrasound transducer (f/2, 173-μm-6 dB pulse-echo lateral beamwidth at the focus, λ-86 μm) scanned over a rectangular grid, keeping the package material in the focal region. All techniques are evaluated with the same set of laboratory-made channel defects: plastic and aluminum foil trilaminate film with 6-, 10-, 15-, 38- and 50-μm-diameter channels filled with water or air. The new RF correlation image technique is formed from the correlation coefficient of each RF echo signal relative to a reference signal that does not pass through a channel defect. Prior to processing, the acquired RF echo signals are first windowed to match within the sample the range where the two materials are bonded, that is, the range where channel defects occur. The statistical study on the laboratory-made channel defects shows that RF correlation technique has the highest detection rate relative to BAI-mode and RFS-mode image for 15-, 10- and 6-μm channel defects. It also is the most effective at smoothing the background, leading to the greatest CNR enhancement.
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