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Pointer type instrument reading method suitable for multi-view images based on machine vision

A technology of instrument reading and machine vision, which is applied in the manufacturing industry, can solve problems such as incorrect image viewing angles, and achieve the effects of low sensitivity, improved stability, and high stability

Pending Publication Date: 2021-04-06
上海智能制造系统创新中心有限公司
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Problems solved by technology

[0007] Based on the dial features of industrial pointer instruments, this invention proposes a registration idea to directly extract the features of the samples to be recognized, and can perform positive calibration on dial pictures with viewing angle rotation or perspective deviation without a template, which is more convenient Solve the problems caused by incorrect image viewing angle without introducing too much artificial dependence and risk

Method used

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  • Pointer type instrument reading method suitable for multi-view images based on machine vision
  • Pointer type instrument reading method suitable for multi-view images based on machine vision
  • Pointer type instrument reading method suitable for multi-view images based on machine vision

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Embodiment

[0044] This example is a pointer meter reading method suitable for multi-view images based on machine vision. The detailed steps are:

[0045] 1. Obtain the picture of the meter to be identified and parameters such as the initial scale reading s of the instrument, the end scale reading e, and the included angle phi of the measuring range;

[0046] 2. Scale the input image proportionally, and scale the shortest side to 480 pixels;

[0047] 3. Perform preprocessing such as histogram equalization, mean filtering, and Gaussian blur on the zoomed image;

[0048] 4. For the preprocessed picture, use the Hough circle finding method to identify the dial circle, calculate the circumscribed rectangle of the dial circle based on a 5% margin, and crop the picture;

[0049] 5. Scale the cropped picture again proportionally, scale the shortest side to 480 pixels, and calculate the center coordinate O and radius r of the scaled dial circle;

[0050] 6. Perform preprocessing such as histogr...

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Abstract

The invention discloses a pointer-type instrument reading method suitable for multi-view images based on machine vision. The method comprises the steps: inputting an instrument photograph, inputting instrument parameters, recognizing a dial circle, carrying out the cutting based on the dial circle, carrying out the image preprocessing, obtaining a binary dial, carrying out the contour analysis of a dial image, and extracting a scale region based on scale hypothesis; calculating the average radius from the scale center to the center of a circle, recording the average radius as the radius of a scale area, performing normal calibration based on dial scale feature extraction by using the radius of the scale area and the binarized dial image in combination with instrument parameters, identifying a dial circle again for the binarized dial image after normal calibration, and performing contour analysis; extracting the scale and pointer areas, cleaning the extracted pointer areas, acquiring a pointer deflection angle through calculation by using a slope fitting method based on multiple times of sampling and averaging, and substituting the pointer deflection angle, the range included angle and the start-stop scale readings into a reading calculation formula to obtain instrument readings through calculation.

Description

technical field [0001] The invention relates to a method for reading a pointer instrument based on machine vision and is suitable for multi-view images, which is suitable for the manufacturing industry and belongs to the technical field of machine vision recognition. Background technique [0002] Due to the advantages of low price, convenient use, and anti-electromagnetic interference, pointer meters are still widely used in industrial production, and most of the reading of pointer meters depends on manual reading, which not only requires considerable labor costs , there is still a certain possibility of introducing errors in the process of manual reading, recording and summarizing. Using machine vision recognition technology to regularly read meters can reduce the risk of reading errors while reducing costs. [0003] The current mainstream machine vision-based pointer meter reading algorithm is mainly based on the uniformity of the dial scale. The algorithm mainly include...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/36
CPCG06V20/20G06V10/20G06V10/25G06V2201/02
Inventor 谭李诺崔勇项志超汪琳谢娜娜
Owner 上海智能制造系统创新中心有限公司
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