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Research on Wood Density Detection by X-Ray Based on Neural Network

机译:基于神经网络的X射线木材密度检测研究

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X-ray real-time digital imaging technique is applied in getting log image without log destruction. This paper presents the average density value of the specific spot of log is measured quickly and exactly according to log perimeter and log image information using the method of artificial neural network. According to the basic knowledge of X-ray testing technique, the method of getting high quality digital image is provided. This paper presents the improved method of image collection system, and setting method of the best parameters of equipment. This paper creates a BP network prediction model of log average density, analyzes the performance of network with different structures and parameters, and presents the best parameters of BP neural networks which are used for measuring log average density. A new method of log average density fast measuring is provided.
机译:X射线实时数字成像技术被应用于获取日志图像而不会破坏日志。本文提出了利用人工神经网络方法,根据测井周长和测井图像信息,快速准确地测出测井特定部位的平均密度值。根据X射线测试技术的基本知识,提供了一种获取高质量数字图像的方法。本文提出了一种改进的图像采集系统方法,以及设备最佳参数的设置方法。本文建立了对数平均密度的BP网络预测模型,分析了具有不同结构和参数的网络的性能,并提出了用于测量对数平均密度的BP神经网络的最佳参数。提供了一种对数平均密度快速测量的新方法。

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