Spatio-temporal algorithms for processing laser speckle imaging data

机译：用于处理激光散斑成像数据的时空算法

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The objective in many laser speckle imaging schemes is to relate the calculated laser speckle contrast to the object motion. In quantifying the laser speckle there are camps that advocate either the spatial or the temporal approach. Each has its merits. In this paper, we attempt to combine these two approaches to achieve a flexible, quantitative scheme. Additionally, we present some approaches that allow incorporation of prior knowledge of the subject motion. These algorithms are flexible and fast because they rely on vectorized processing. We demonstrate performance of these processing schemes on simulated and experimental speckle data.

机译：许多激光散斑成像方案的目的是将计算出的激光散斑对比度与物体运动相关联。在量化激光散斑时，有一些阵营主张空间或时间方法。每个都有其优点。在本文中，我们尝试将这两种方法结合起来以实现灵活的定量方案。另外，我们提出了一些方法，可以结合主体运动的先验知识。这些算法灵活且快速，因为它们依赖于矢量化处理。我们在模拟和实验斑点数据上展示了这些处理方案的性能。

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来源
《Conference on Optics in Tissue Engineering and Regenerative Medicine; 20080120-21; San Jose,CA(US)》|2008年|P.ivi|共2页
会议地点 San JoseCA(US)
作者
Donald D. Duncan; Sean J. Kirkpatrick;
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作者单位

Oregon Health Science University, 3303 SW Bond Ave, Portland, OR USA 97239-4501;

Oregon Health Science University, 20000 NW Walker Rd, Beaverton, OR USA 97006-8921;

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会议组织
原文格式 PDF
正文语种 eng
中图分类医用物理学;
关键词
speckle; algorithms; contrast; processing;

机译：散斑;算法;对比度;处理;

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Spatio-temporal algorithms for processing laser speckle imaging data

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