...
首页> 外文期刊>Multidimensional systems and signal processing >Application of 2-dimensional analytic signals with single-quadrant spectra for processing of SAFT-reconstructed images
【24h】

Application of 2-dimensional analytic signals with single-quadrant spectra for processing of SAFT-reconstructed images

机译:具有单象限光谱的二维分析信号在处理SAFT重建图像中的应用

获取原文
获取原文并翻译 | 示例
           

摘要

The Synthetic Aperture Focusing Technique (SAFT) is an algorithm applied in non-destructive ultrasonic testing which provides an image of flaws within a specimen. The image is reconstructed from A-scans measured at different positions. Reliable evaluation of the images obtained by the SAFT-algorithm, however, depends on the representation of the reconstructed data, which is initially given in terms of positive and negative local values only. A suitable way of processing this data for evaluation is to calculate the envelope, which can be achieved by means of the analytic signal. The extension of this concept to the multidimensional case is neither trivial nor unique and although extensive work on this subject has been carried out in the past, a correct envelope calculation in multidimensional data remains difficult since it depends on an additional condition, namely the separability of the signal. In this paper, the concept of analytic signals with single-quadrant spectra is applied to process 2-dimensional data obtained by the SAFT-algorithm. Furthermore, we present a procedure to overcome the limitations of that approach by selecting local magnitude values from a number of rotated frames after evaluating the signal's separability in each frame, which is briefly validated against synthetic and experimental data.
机译:合成孔径聚焦技术(SAFT)是一种应用于无损超声测试的算法,可提供样品内缺陷的图像。从在不同位置测量的A扫描重建图像。然而,对通过SAFT算法获得的图像的可靠评估取决于重建数据的表示形式,该表示形式最初只是根据正和负局部值给出的。处理此数据以进行评估的合适方法是计算包络,这可以通过分析信号来实现。将该概念扩展到多维案例既不是琐碎的也不是唯一的,尽管过去在这个问题上进行了广泛的工作,但是多维数据的正确包络计算仍然很困难,因为它取决于附加条件,即可分离性。信号。本文将单象限频谱分析信号的概念应用于处理通过SAFT算法获得的二维数据。此外,我们提出了一种程序,通过评估每个帧中信号的可分离性后从多个旋转帧中选择局部幅度值来克服该方法的局限性,该过程已针对合成和实验数据进行了简要验证。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号