Pointer instrument positioning and identifying method 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: 2018-11-30
HOHAI UNIV CHANGZHOU
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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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  • Pointer instrument positioning and identifying method based on machine vision
  • Pointer instrument positioning and identifying method based on machine vision
  • Pointer instrument positioning and identifying method based on machine vision

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Embodiment Construction

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

[0058] like 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 thr...

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Abstract

The invention discloses a pointer instrument positioning and identifying method based on machine vision. The position of an instrument panel in an instrument cabinet image is accurately positioned andan instrument reading is automatically recognized. The method comprises the steps of (1) acquiring the instrument cabinet image; (2) carrying out segmentation processing on the instrument cabinet image to obtain an instrument panel image; (3) preprocessing the instrument panel image; (4) acquiring all edge contours in the instrument panel image by using a Canny edge detection method; (5) findingall linear contours in the obtained edge contours by using Hough transform; (6) screening out the linear contours where a pointer in the instrument panel is located through length characteristics of the linear contours; (7) calculating an average value theta of an inclination angle between the two linear contours where the pointer is located; and (8) calculating out a pointer reading according toa linear relation between the linear inclination angle and an instrument scale. By the adoption of a positioning and detecting technology, the method has the characteristics of accurate positioning and reading, good anti-noise performance and efficient and rapid 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 Applications(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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