一种基于数字图像处理的粗指针仪表读数识别方法
A Method of Recognizing the Thick Pointer Instrument’s Numerical Reading Based on Digital Image Processing

作者: 孙忠义 * , 康 丽 , 王 库 :中国农业大学信息与电气工程学院; 宰洪涛 , 田瑞萍 :晋城供电公司;

关键词: 图像处理区域标记图像分割指针仪表指针读数Image Processing Region Labeling Image Segmentation Pointer Instrument Pointer Reading

摘要:
变电站中变压器上的油位表盘是监测变压器运行状态的关键设备,利用数字图像识别技术是准确获取油位表盘指针读数的有效途径之一。针对基于图像处理的油位表盘读数系统中存在的精度不够、可靠性低和实时性不好的问题,根据油位表指针的图像特征,提出一种基于连通区域面积大小先验知识的图像分割算法。并在该算法基础上实现变压器油位表盘读数的方法。由Matlab仿真实验表明,该方法能较好地从图像背景中分割油位表盘指针图像,为准确判定表盘指针读数奠定了基础,也为指针仪表读数识别提供了一种实用方法。

Abstract:
The oil-level dial of transformer is the key device to detect the state of transformers in the transformer substation, and the digital image recognition technology is an effective way to accurately obtain the oil-level dial’s numerical reading. As to the inaccuracy, low reliability and bad real-time performance of the traditional image-based dial reading systems, according to the image features of oil-level dial, a segmentation algorithm based on the future knowledge of the connected region’s area is proposed. And based on this algorithm an oil-level dial reading method is implemented. The experimental results of Matlab simulation show that our method is better to segment the pointer from the background of the oil-level dial images, laying a foundation to accurately judge the reading of the dial’s pointer, furthermore it provides a practical way to recognize the oil-level dial’s numerical reading.

文章引用: 孙忠义 , 康 丽 , 王 库 , 宰洪涛 , 田瑞萍 (2013) 一种基于数字图像处理的粗指针仪表读数识别方法。 计算机科学与应用, 3, 195-201. doi: 10.12677/CSA.2013.34034

参考文献

[1] 孙凤杰, 安田江, 范杰清等. 电力变压器温度表指针位置识别研究[J].中国电机工程学报, 2007, 7(27): 70-74.

[2] F. Alegria, A. Serra. Automatic calibration of analog and digital measuring instruments using computer vision. IEEE Transaction on Instrumentation and Measurement, 2000, 49(1): 94-99.

[3] 孙凤杰, 郭风顺, 范杰清等. 基于图像处理技术的表盘指针角度识别研究[J]. 中国电机工程学报, 2005, 25(16): 73-78.

[4] 王圆圆, 丁志杰, 万华林. 基于视觉颜色聚类的彩色图像分割[J]. 北京理工大学学报, 2003, 23(6): 772-775.

[5] 陈松灿, 伍艳莲. 图像的模糊识别方法研究与实现[J]. 电子学报, 2000, 28(11): 50-54.

[6] 岳国义, 李宝树, 赵书涛. 智能型指针式仪表识别系统的研究[J]. 仪器仪表学报, 2003, 24(4): 430-431.

[7] 王博, 秦岭松. 基于计算机视觉的指针式仪表自动检测系统[J]. 计算机工程, 2005, 31(11): 19-21.

[8] 杨耀权, 赵艳琴, 何晓燕. 基于计算机视觉技术的指针式仪表自动检定方法[J]. 仪器仪表学报, 2001, 22(3): 233-234.

[9] J. Matas, C. Galambos and J. Kittler. Robust detection of lines using progressive probabilistic Hough transform. Computer Vision and Image Understanding, 2000, 78(1): 119-137.

[10] 高洪波, 王卫星. 一种二值化图像连通区域标记的新算法[J].计算机应用, 2007, 27 (11): 2776-2778.

[11] 郭尚, 苏鸿根. 基于像素的计算大量连通区域面积的快速算法[J]. 计算机工程与设计, 2008, 29(7): 1760-1763.

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