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Realtime Monitoring of Water Turbidity using Image Sequence Analysis

机译：利用图像序列分析实时监测水浊度

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摘要

Turbidity is a measure of cloudiness in water and is a good indicator of water quality. In this paper, we present a real time image processing computer system for monitoring turbidity. Using image processing, the system continuously analyzes water samples to measure turbidity based on the attenuation of light passing through the water samples. Recent turbidity readings were recorded in the form of a graphs and text files. Linear regression analysis was used on measurements derived from 10 water samples with low to moderate turbidity, and it was determined that 94.35 percent of the variation in the actual turbidity is explained by the turbidity measurements obtained through the system. With the addition of three water samples with high turbidity, the strength of linear relationship was increased to 97.76 percent.
机译：浊度是衡量水中浑浊的指标，是水质的良好指标。在本文中，我们提出了一种用于监测浊度的实时图像处理计算机系统。该系统使用图像处理功能，根据通过水样的光的衰减，连续分析水样以测量浊度。最近的浊度读数以图形和文本文件的形式记录。使用线性回归分析对10个低至中度浊度的水样进行了测量，确定通过系统获得的浊度测量值可以解释实际浊度变化的94.35％。通过添加三个浊度较高的水样品，线性关系的强度增加到97.76％。

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