An improved identification method for hollowing instrument

Ke Liu; Xiangjin Zeng; Jian Chen

doi:10.1117/12.2538454

14 February 2020 An improved identification method for hollowing instrument

Ke Liu, Xiangjin Zeng, Jian Chen

Proceedings Volume 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 1143216 (2020) https://doi.org/10.1117/12.2538454
Event: Eleventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2019), 2019, Wuhan, China

Abstract

Aiming at the problem that the pointer are occluded when manual inspection of hollow pointer instruments in substations and the reading error caused by shooting angle is large, a detection method of pointer segments based on annular region segmentation is proposed. This method combines the principle of Hough gradient method and adopts multi-layer template feature matching to build a table needle template library. Firstly, the image is grayed, binarized and expanded. Secondly, the tilted instrument image is corrected by perspective transformation matrix. Finally, the outline is detected by Canny algorithm, and the pixels in the annular region are detected from outside to inside until the pointer is found. In the annular area, the pointer connecting the center of the instrument and the detected annular area is the pointer position of the instrument. The results show that the pointer instrument automatic recognition system can accurately identify the reading of the pointer. Compared with the SVM method, the accuracy of the reading is higher and the false rate of detection is lower.

Citation Download Citation

Ke Liu, Xiangjin Zeng, and Jian Chen "An improved identification method for hollowing instrument", Proc. SPIE 11432, MIPPR 2019: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 1143216 (14 February 2020); https://doi.org/10.1117/12.2538454

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KEYWORDS

Image processing

Image segmentation

Digital image processing

Calibration

Hough transforms

Detection and tracking algorithms

Inspection

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