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Intelligent Method for Dipstick Urinalysis Using Smartphone Camera

机译:智能手机摄像头进行试纸尿液分析的智能方法

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This paper introduces an intelligent method for helping people to maintain their healthy by doing a self urinalysis utilising a smartphone camera. A color sensing method using a smartphone camera is designed to determine the value of a reagent strip in a urinalysis dipstick. In the dipstick urinalysis, a color change in each reagent strip is examined. This color change is a result of the reaction of dipstick to the chemical contents of urine including pH, Protein, Glucose, Ketones, Leucocyte, Nitrite, Bilirubine, and Urobilinogen. Performing disptick urinalysis can be done in almost any places even on the very remote area where medical laboratory cannot be found, and it is much easier and cheaper than medical lab visit. The proposed intelligent method includes a framework for color acquisition using a smartphone camera which covers the color management system, color correction, color matching, and quantification. The usage of RGB and CIELAB color space is discussed in the color management part. An automated color constancy approach is introduced to provide a better color correction, and a step-wise linear interpolation is introduced to better estimate the urinalysis value. To implement this proposed method, a closed acquisition box does not required. Disptick capturing can be done directly with a smartphone camera in almost any normal lighting condition.
机译:本文介绍了一种智能方法,可以通过使用智能手机摄像头进行自我尿液分析来帮助人们维持健康。设计了一种使用智能手机相机的颜色感应方法,以确定尿液分析试纸中试剂条的价值。在试纸尿液分析中,检查每个试剂条的颜色变化。这种颜色变化是量油尺与尿液化学成分(包括pH值,蛋白质,葡萄糖,酮,白细胞,亚硝酸盐,胆红素和尿胆素原)反应的结果。几乎在任何地方都无法进行医学尿液分析,即使是在医学实验室无法找到的非常偏远的地区,这也比医学实验室访问更容易,更便宜。提出的智能方法包括使用智能手机相机进行颜色采集的框架,该框架涵盖了颜色管理系统,颜色校正,颜色匹配和量化。色彩管理部分讨论了RGB和CIELAB色彩空间的用法。引入了自动颜色恒定性方法以提供更好的颜色校正,并引入了逐步线性插值法以更好地估计尿液分析值。为了实现该建议方法,不需要封闭的采集盒。几乎在任何正常照明条件下,都可以使用智能手机相机直接进行Disptick捕获。

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