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Research of the Equipment Calibration Methods for Fertilizers Particles Distribution by Size Using Image Processing Measurement Method

机译:基于图像处理测量方法的肥料按粒度分布标定方法的研究

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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.
机译:如今,图像处理技术已广泛用于质量控制中。新的自动化质量控制系统可以节省资源。化肥行业的质量控制不会中断。只有间接测量才能达到所需的高质量生产效率。本文介绍了用于校准间接粒子测量方法的方法。通过处理数字图像来执行粒子分析。结果的校正通过筛子校正系数进行。在这项工作中,已经使用线性回归多项式函数和人工神经网络进行了研究。使用后者,可以获得足够的培训数据,从而获得最佳结果。

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