A method for positioning and identifying pointer instruments based on machine vision

A machine vision and recognition method technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of high requirements for image clarity and strong contrast, difficult to obtain dial information, difficult to obtain scale information, etc. Achieve accurate and reliable identification results, avoid the influence of interference factors, and improve the scope of application

Active Publication Date: 2020-07-10
HOHAI UNIV CHANGZHOU
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  • Abstract
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AI Technical Summary

Problems solved by technology

The problem with this method is that it cannot fit a straight line without getting enough edge points of the pointer, so it is severely limited by the algorithm and image quality. , so it takes a long time
However, in actual situations, it is difficult to obtain complete dial information, including all scale information, so this method has high requirements for image clarity and strong contrast

Method used

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  • A method for positioning and identifying pointer instruments based on machine vision
  • A method for positioning and identifying pointer instruments based on machine vision
  • A method for positioning and identifying pointer instruments based on machine vision

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Embodiment Construction

[0057] Below in conjunction with example the present invention is described in detail:

[0058] Such as figure 1 As shown, the pointer instrument positioning and identification method based on machine vision of the present invention comprises the following steps:

[0059] (1) Obtain the image of the instrument cabinet (note: the instrument panel is located on the surface of the instrument cabinet):

[0060] Capture images of the instrument cabinet with a digital camera or video camera.

[0061] (2) Segment the image of the instrument cabinet to obtain the image of the instrument panel, as follows:

[0062] A. Convert the image of the instrument cabinet from RGB to HSL. The specific conversion formula is as follows:

[0063]

[0064]

[0065]

[0066] Wherein, M=max(R,G,B), m=min(R,G,B).

[0067] B. Binarize the luminance map of the instrument cabinet. The L component of the HSL space image is extracted to obtain the brightness map of the instrument cabinet. The ...

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Abstract

The invention discloses a pointer instrument positioning and identification method based on machine vision, which accurately locates the position of the instrument panel in the image of the instrument cabinet and automatically recognizes the reading of the instrument, (1) acquires the image of the instrument cabinet; The cabinet image is segmented to obtain the dashboard image; (3) preprocessing the dashboard image; (4) using the Canny edge detection method to obtain all the edge contours in the dashboard image; (5) in the obtained edge contour Use Hough transform to find all straight line contours, (6) filter out the straight line contour where the pointer is located in the instrument panel through the length feature of the straight line contour; (7) calculate the average value θ of the inclination angle of the two straight line contours where the pointer is located; (7) use the straight line A linear relationship between inclination and gauge scale calculates the needle reading. By adopting the above positioning and detection technologies, it has the characteristics of accurate positioning and reading, good anti-noise performance, and efficient and fast image processing.

Description

technical field [0001] The invention belongs to the technical field of digital image processing, and in particular relates to a machine vision-based pointer instrument positioning and identification method. Background technique [0002] Pointer instruments are widely used in all aspects of production and life, and their structure is simple and easy to use. Domestically, the manual method is mainly used to read the indications of pointer instruments. This method is affected by human subjective factors such as observation angle, observation distance, human eye fatigue, etc., and is unstable and unreliable. Moreover, the workload of data processing is heavy, and the recognition efficiency is low; in addition, errors may be caused because the eyes cannot keep up with the rotation speed of the pointer. [0003] The automatic recognition technology of pointer instruments based on machine vision mainly includes the positioning technology of the instrument panel and the recognition...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/46
CPCG06V10/48G06V10/56
Inventor 徐晓龙吴宁馨尚铭舟曹光静陈文张学武张卓
Owner HOHAI UNIV CHANGZHOU
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