Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores

机译：基于支持向量回归算法的铁矿石在线预测在线机器视觉系统的开发

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The present study attempts to develop a machine vision system for continuous monitoring of grades of iron ores during transportation through conveyor belts. The machine vision system was developed using the support vector regression (SVR) algorithm. A radial basis function (RBF) kernel was used for the development of optimized hyperplane by transforming input space into large dimensional feature space. A set of 39-image features (27-colour and 12-texture) were extracted from each of the 88-captured images of iron ore samples. The grade values of iron ore samples corresponding to the 88-captured images were analyzed in the laboratory. The SVR model was developed using the optimized feature subset obtained using a genetic algorithm. The correlation coefficient between the actual grades and model predicted grades for testing samples was found to be 0.8244.

机译：本研究试图开发一种机器视觉系统，用于在通过传送带的运输过程中连续监控铁矿石的品位。机器视觉系统是使用支持向量回归（SVR）算法开发的。径向基函数（RBF）内核用于通过将输入空间转换为大尺寸的特征空间来开发优化的超平面。从88个捕获的铁矿石样本图像中分别提取出39个图像特征（27种颜色和12种纹理）。在实验室中分析了与捕获的88张图像相对应的铁矿石样品的品位值。 SVR模型是使用通过遗传算法获得的优化特征子集开发的。测试样品的实际等级与模型预测等级之间的相关系数为0.8244。

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《IAPR International Conference on Machine Vision Applications》|2017年|149-152|共4页
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Ashok Kumar Patel; Snehamoy Chatterjee; Amit Kumar Gorai;
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Feature extraction; Image color analysis; Ores; Iron; Machine vision; Training; Support vector machines;

机译：特征提取;图像颜色分析;矿石;铁;机器视觉;训练;支持向量机;

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1. Development of a machine vision system using the support vector machine regression (SVR) algorithm for the online prediction of iron ore grades [J] . Patel Ashok Kumar, Chatterjee Snehamoy, Gorai Amit Kumar Earth Science Informatics . 2019,第2期

机译：使用支持向量机回归（SVR）算法的机器视觉系统的开发用于铁矿石等级的在线预测
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4. Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores [C] . Ashok Kumar Patel, Snehamoy Chatterjee, Amit Kumar Gorai IAPR International Conference on Machine Vision Applications . 2017

机译：使用支持向量回归（SVR）算法的在线机器视觉系统的发展铁矿石等级预测算法
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Development of online machine vision system using support vector regression (SVR) algorithm for grade prediction of iron ores

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