A robust and automatic recognition system of analog instruments in power system by using computer vision

Zheng, Chao; Wang, Shaorong; Zhang, Yihan; Zhang, Pengxiang; Zhao, Yong

doi:10.1016/j.measurement.2016.06.045

Cited by 69 publications

(44 citation statements)

References 19 publications

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“…It reduced the effect of illumination but increased the amount of calculation, which leads to low efficiency. Zheng Chao et al proposed a novel reading method in [9], which can identify meter images under different brightness intensity and camera angles, and has good robustness. In order to prevent the collected meter from being deformed, Ma Yifan et al [10] presented an eight chain code shape to represent the pixel image shape, and used a binarization threshold determination method based on the symmetry degree to solve the pointer interference.…”

Section: Introductionmentioning

confidence: 99%

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

Xiao

et al. 2021

Applied Sciences

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With the development of science and technology, inspection robots have attracted more and more attention, and research on the automatic reading of pointer instruments through inspection robots has become particularly valuable. Aiming at the problems of uneven illumination, complex dial background and damping fluid interference of the collected instrument images, this paper proposes a dial gauge reading algorithm based on coordinate positioning. First, the multi-scale retinex with color restoration (MSRCR) is applied to improve the uneven illumination of the image. Second, a circle detection algorithm based on the arc-support line segment is proposed to detect the disc to obtain the coordinate of the center and radius of the circle. Then, a pointerless template is used to obtain the pointer, and the concentric circle algorithm is applied to locate the refined pointer. Finally, the automatic reading is calculated using the relative position of the pointer and the zero scale. The experimental results prove that the proposed algorithm can accurately locate the center of the circle and the pointer and obtain readings automatically.

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Section: Introductionmentioning

confidence: 99%

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

Xiao

et al. 2021

Applied Sciences

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“…F Corrêa Alegria and A Cruz Serra [1] employed Hough Transform to get determine tick-marks. Chao Zheng et al [2] proposed a robust and automatic recognition algorithm which can read the indication of analog instruments automatically at various brightness levels and camera angles. It is an integrated application of Multi-Scale Retinex with color restoration at different brightness levels, using Perspective Transform to get the front view of image taken from arbitrary camera angle, and using Hough Transform to determine the starting scale mark and ending scale mark.…”

Section: Introductionmentioning

confidence: 99%

Double Image Segmentation Algorithm for Tick-Mark Recognition of Analog Instrument

Liu¹,

Zhou²,

Xie³

2021

WJET

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Tick-mark recognition is a key step for automatic reading of analog instrument with computer vision techniques which is called for in many automatic processes among industries. As many factors result in the tick-mark distortion in the sampled image such as the generally stained surface of instrument, or/and reflection and refraction of light, the accuracy and robustness of tick-mark reading are directly or indirectly weakened. Double image segmentation algorithm (DISA) is employed to solve this problem which makes coarse segmentation with structural parameters of instruments, and makes accurate segmentation with gray difference between tick-marks and their background. Tests have been conducted with 640 * 480 pixel industry camera and 4 kinds of pointer pressure meter, and the results show that read-out rate of tick-mark in pointer meter reached 100% at sufficient illumination and 76% at insufficient illumination for air packed instrument. In addition with oil packed instrument, DISA still experienced 64% recognition in comparison with 0 success record by Hough Transformation.

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“…They used radial projection and Bresenham line algorithm to locate the pointer position, thus obtaining the readings of pointer meters and calibrating the meters. Zheng et al [ 13 ] proposed a robust automatic recognition algorithm. MSRCR with color recovery function was used for preprocessing to reduce the influence of brightness, and projection transformation was applied to obtain the front view of the image, and then Hough transform was used to recognize the pointer and get the readings.…”

Section: Introductionmentioning

confidence: 99%

“…The methods proposed by Alegria [ 11 ], Belan [ 12 ] and Gao [ 14 ] can achieve a higher accuracy in the verification system with manual control of brightness and shooting angle, but have a poor robustness in industrial fields with more complex shooting environment, such as external substations. In addition, although the methods proposed by Zheng [ 13 ], Ma [ 15 ], Chi [ 16 ] and Sheng [ 17 ] have improved the robustness of automatic reading algorithms to a certain extent, these methods are weak in adapting to different meter types, and the proposed algorithms can only be applied to the meter dials with certain characteristics. For example, the extracted vertexes of quadrilateral meter dial were used to make meter rectification in Zheng’s method [ 13 ], which is not applicable to those round meters; the method proposed by Ma [ 15 ] located the meter center according to the circularity of center of rotation, which is only suitable for those meters with a circular center; the method presented in Chi’s article [ 16 ] is also only applicable to meters whose scale line is distributed within the gray scale region.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, although the methods proposed by Zheng [ 13 ], Ma [ 15 ], Chi [ 16 ] and Sheng [ 17 ] have improved the robustness of automatic reading algorithms to a certain extent, these methods are weak in adapting to different meter types, and the proposed algorithms can only be applied to the meter dials with certain characteristics. For example, the extracted vertexes of quadrilateral meter dial were used to make meter rectification in Zheng’s method [ 13 ], which is not applicable to those round meters; the method proposed by Ma [ 15 ] located the meter center according to the circularity of center of rotation, which is only suitable for those meters with a circular center; the method presented in Chi’s article [ 16 ] is also only applicable to meters whose scale line is distributed within the gray scale region. The method proposed by Sheng [ 17 ] used scale line to fit the meter center, so the scale image has few characteristics, which is prone to false detection and influence by the image quality.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

Zhu

Zhou

Sheng

et al. 2020

Sensors

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Automatic reading of pointer meters is of great significance for efficient measurement of industrial meters. However, existing algorithms are defective in the accuracy and robustness to illumination shooting angle when detecting various pointer meters. Hence, a novel algorithm for adaptive detection of different pointer meters was presented. Above all, deep learning was introduced to detect and recognize scale value text in the meter dial. Then, the image was rectified and meter center was determined based on text coordinate. Next, the circular arc scale region was transformed into a linear scale region by polar transform, and the horizontal positions of pointer and scale line were obtained based on secondary search in the expanded graph. Finally, the distance method was used to read the scale region where the pointer is located. Test results showed that the algorithm proposed in this paper has higher accuracy and robustness in detecting different types of meters.

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A robust and automatic recognition system of analog instruments in power system by using computer vision

Cited by 69 publications

References 19 publications

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

Automatic Reading Algorithm of Substation Dial Gauges Based on Coordinate Positioning

Double Image Segmentation Algorithm for Tick-Mark Recognition of Analog Instrument

A High-Robust Automatic Reading Algorithm of Pointer Meters Based on Text Detection

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