首页> 外文会议>Conference on three-dimensional imaging, visualization, and display >Local frequency estimation from intensity gradients in spatial carrier fringe pattern analysis
【24h】

Local frequency estimation from intensity gradients in spatial carrier fringe pattern analysis

机译:空间载波条纹图案分析中强度梯度的局部频率估计

获取原文

摘要

Spatial carrier fringe pattern analysis is an effective tool in optical measurement, e.g. in interferometry and fringe projection technique. With it, the very large phase deformations in a spatial carrier fringe pattern may increases the bandwidth of fringe component thus leading to difficulties in retrieving its phase map. In order to overcome this problem, many local-adaptive methods have been developed for processing the spatial carrier fringe pattern with large phase variations, and in fact, the local spatial frequency estimation is central to these methods. This paper introduces a simple algorithm for estimating the local frequencies of a fringe pattern with spatial carrier. First, the intensity gradients of the fringe pattern are calculated, and then the standard deviations (SDs) of the intensity gradients at each pixel are estimated from its neighborhood. Finally the local frequencies are estimated from the SDs just calculated simply using an arccosine function. This algorithm is potential in developing effective techniques for retrieving phases from a spatial carrier fringe pattern with large phase variations. For example, we can recover the phase map by directly integrating the local frequencies or by use of an adaptive spatial carrier phase shifting algorithm (SCPS) with the local frequencies being the local phase shifts. It can also be used in Fourier transform method for exactly determining the carrier frequencies, or for extrapolating aperture in order to reduce the boundary effect. Combined with time-frequency techniques such as windowed Fourier transform and wavelet transform methods, it is helpful for alleviating the computational burdens.
机译:空间载体条纹图案分析是光学测量的有效工具,例如光学测量。在干涉测量和边缘投影技术。如此,空间载体条纹图案中的非常大的相变可以增加边缘部件的带宽,从而导致在检索其相位图中的困难。为了克服这个问题,已经开发了许多局部自适应方法,用于处理具有大相变化的空间载体条纹图案,实际上,局部空间频率估计是这些方法的核心。本文介绍了一种简单的算法,用于估计具有空间载体的条纹图案的局部频率。首先,计算边缘图案的强度梯度,然后从其邻域估计每个像素处的强度梯度的标准偏差(SDS)。最后,刚刚使用ARCCOSINE函数计算的SDS估计本地频率。该算法是开发用于从具有大相变化的空间载体条纹图案中检索阶段的有效技术的潜力。例如,我们可以通过直接集成局部频率或通过使用具有局部相移的局部频率的自适应空间载波相位转换算法(SCP)来恢复相位映射。它还可以用于傅立叶变换方法,用于精确地确定载波频率,或用于推断孔径以减小边界效果。结合时间频率技术,例如窗口傅里叶变换和小波变换方法,有助于减轻计算负担。

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