基于图像处理测量法的肥料粒度分布设备标定方法研究

Andrius Laucka, Vaida Adaskeviciute, A. Valinevicius, D. Andriukaitis
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引用次数: 2

摘要

图像处理技术在质量控制中得到了广泛的应用。新型自动化质量控制系统,节约资源。肥料工业的质量控制是不间断的。只有间接测量才能达到所要求的质量生产效率。本文介绍了间接粒子测量方法的标定方法。粒子分析是通过处理数字图像来完成的。用筛校正系数对结果进行校正。在这项工作中,使用线性回归多项式函数和人工神经网络进行研究。对于后者,在有足够的数据进行训练的情况下,可以获得最好的结果。
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Research of the Equipment Calibration Methods for Fertilizers Particles Distribution by Size Using Image Processing Measurement Method
Image processing technologies nowadays are widely used in quality control. A new automated quality control system saves resources. Quality control in the fertilizer industry is carried out without interruption. Only indirect measurements can achieve the required quality production efficiency. This article presents the methodology for calibrating indirect particle measurement methods. Particle analysis is performed by processing digital images. Correction of results is carried out with a sieve correction factor. In this work, studies have been carried out using linear regression polynomial function and artificial neural network. With the latter, the best results are achieved with sufficient data for training.
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