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中文摘要：
由于X射线源的发射能量不稳定等原因，导致μCT扫描仪在不同时间对同一水泥水化浆体扫描时，同一物质线性衰减系数不同产生灰度差异。依据水泥水化理论和图像处理相关原理，利用粒子群算法（particleswal Ttloptimization，PSO）优化区间范围参数，将待校准的水泥图像灰度范围重映射到相关区间，再对原始的灰度直方图曲线进行拉伸变换，直到待校准图像直方图两个波峰区域与参考图像直方图两个波峰区域对齐为止，从而达到不同时间的水泥图像是同一物质灰度校准的目的。
英文摘要：
When the μCT scans the same cement paste at different times, the grayscale of the same matter are different because that causes the unstable X-ray＇s emitted energy the different linear attenuation coefficient. According to the cement hydration principle and the theory of image processing, and using the particle swarm optimization（PSO） algorithm to optimize interval parameters＇ range, the grayscale was redirected to another interval, then the original histogram figure was stretched until the two wave crests between the float image histogram and the reference image histogram were aligned. Finally the grayscale correction would be realized.
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Estimation of Distribution Algorithm for Optimization of Neural networks for Intrusion Detection Sys
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