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Improvement of Color Detection by Regression Analysis of Visual-MIMO System

机译:通过Visual-MIMO系统的回归分析改进颜色检测

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The color detection from light emitting diode (LED) array by using smartphone camera is very difficult in visual multiple-input multiple-output (visual-MIMO) system. In this paper, we propose a method to detect the LED color through smartphone camera applying regression analysis. We apply multivariate regression model for detecting LED color. By taking picture of LED array, we detect the region of interest (ROI), then detecting LEDs by image processing algorithm, applying k means-clustering algorithm for generating possible number of colors of LED array and finally applying regression model to predict transmitted LEDs color. We get the value of test database R-squared 91.14%, 94.80% and 96.24% for red, green and blue channel, respectively.
机译:在视觉多输入多输出(visual-MIMO)系统中,使用智能手机相机从发光二极管(LED)阵列进行颜色检测非常困难。在本文中,我们提出了一种通过回归分析通过智能手机相机检测LED颜色的方法。我们将多元回归模型用于检测LED颜色。通过拍摄LED阵列的图片,我们检测感兴趣区域(ROI),然后通过图像处理算法检测LED,应用k均值聚类算法生成LED阵列可能的颜色数量,最后应用回归模型来预测透射的LED颜色。对于红色,绿色和蓝色通道,我们分别获得测试数据库R平方的值,分别为91.14 \%,94.80 \%和96.24 \%。

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