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Temporal contrast analysis using correlation between frames

机译:使用帧之间的相关性进行时间对比分析

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Speckle contrast analysis had been used for multiples purposes, for instance, laser speckle contrast imaging (LSCI) has been used to estimate the relative blood flow speed in a non-invasive way. The speckle contrast can be calculated using a spatial or temporal algorithm or a combination of both. Our work focuses into the contrast temporal algorithm. A contrast image calculated with the temporal contrast algorithm requires a sequence of L equal-sized frames. The contrast images are performed pixel by pixel, however, the experimental contrast calculation does not match with the current temporal theoretical model especially when the exposure time Tis smaller than the correlation time τ_c. In this work, we propose to correlate neighboring pixels along the temporal axis to improve the contrast calculation. The contrast measurements using our proposal provide a better agreement than the current models.
机译:斑点对比分析已用于多种目的,例如,激光斑点对比成像(LSCI)已用于以非侵入性方式估计相对血流速度。斑点对比度可以使用空间或时间算法或两者的组合来计算。我们的工作集中在对比时间算法上。用时间对比算法计算的对比图像需要L个相等大小的帧序列。对比图像是逐像素执行的,但是,实验对比计算与当前的时间理论模型不匹配,尤其是当曝光时间Tis小于相关时间τ_c时。在这项工作中,我们建议将沿时间轴的相邻像素进行关联,以改善对比度计算。使用我们的建议进行的对比度测量比当前模型提供了更好的一致性。

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