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Reading recognition method of analog measuring instruments based on improved hough transform

机译:基于改进霍夫变换的模拟量仪读数识别方法

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To effectively resolve the automatic recognition problem of analog measuring instruments, a reading recognition method based on improved Hough transformation is proposed. Firstly, the paper presents the image preprocessing operation. In order to make the image filtering better, an improved adaptive median filter method is adopted. Secondly, we explains in detail the recognition principle for the pointer angle using the improved Hough transform. And the pointer's reading is got using the linear relationship between scale and angle of instrument dial revolutionary. In order to further improve the recognition accuracy, as to the situation that pointer completely coincides with the whole tick, late correction will be done. Finally, the automatic recognition software is written in VC++6.0 IDE, and complete the recognition experiment for the AC voltmeter. The experimental results show that the method is very valid for the pointer angle recognition. In addition, the advantages of this study are as following: simple algorithm, good real-time and high precision.
机译:为了有效解决模拟量仪的自动识别问题,提出了一种基于改进的霍夫变换的阅读识别方法。首先,本文介绍了图像预处理操作。为了使图像滤波更好,采用了一种改进的自适应中值滤波方法。其次,我们详细说明了使用改进的霍夫变换的指针角度识别原理。指针的读数是使用刻度盘和刻度盘转角之间的线性关系得出的。为了进一步提高识别精度,对于指针与整个刻度线完全重合的情况,将进行后期校正。最后,用VC ++ 6.0 IDE编写了自动识别软件,并完成了交流电压表的识别实验。实验结果表明,该方法对指针角度识别非常有效。另外,本研究的优点还在于:算法简单,实时性好,精度高。

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