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Temporal contrast analysis using correlation between frames

机译:使用帧之间的相关性的时间对比度分析

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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:斑点对比度分析已被用于倍数目的,例如,激光散斑对比度成像(LSCI)已被用于以非侵入性方式估计相对血流速度。可以使用空间或时间算法或两者的组合来计算斑点对比度。我们的工作侧重于对比度时间算法。用时间对比度算法计算的对比度图像需要一系列L等大小的帧。对比度图像通过像素执行像素,然而,实验对比度计算与当前时间理论模型不匹配,特别是当曝光时间TIS小于相关时间τ_c时。在这项工作中,我们建议沿着时间轴相关联的相邻像素以改善对比度计算。使用我们的提案的对比度测量提供比当前模型更好的协议。

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