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Research on Image Liquid Level Measurement Technology Based on Hough Transform

机译:基于Hough变换的图像液位测量技术研究

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Based on the camera imaging model and the storage tank measurement environment, the corresponding relationship between the real liquid level height in the image and the liquid level contour radius is deduced in this paper. For the collected images, grayscale and morphological processing are performed first, and the Sobel operator is used for edge recognition. According to the situation, the corrosion calculation is used to reduce the subsequent calculation, and then the circle is detected by the optimized Hough transform to obtain the radius of the circle. Finally, the liquid level information is obtained according to the measurement model. Experimental results show that the maximum absolute error of the system is 2.99mm, and the maximum reference error is 0.75%. The system has certain theoretical and practical significance.
机译:基于相机成像模型和存储罐测量环境,在本文中推举了图像中的实际液位高度与液位轮廓半径之间的相应关系。 对于收集的图像,首先执行灰度和形态学处理,并且Sobel操作者用于边缘识别。 根据情况,腐蚀计算用于减少随后的计算,然后通过优化的霍夫变换检测圆以获得圆的半径。 最后,根据测量模型获得液位信息。 实验结果表明,系统的最大绝对误差为2.99mm,最大参考误差为0.75%。 该系统具有一定的理论和实践意义。

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