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Meter pointer angle identification method based on image processing

An instrument pointer and image processing technology, which is applied in the field of image processing, can solve the problems of large errors in the frame difference method of instrument pointers, and achieve the effects of eliminating detection deviations, improving performance, and intuitive image processing results

Active Publication Date: 2015-05-20
宁波智能装备研究院有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem that the frame difference method of using the absolute angle method to detect the meter pointer has a large error, and provides a method for recognizing the corner of the meter pointer based on image processing

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  • Meter pointer angle identification method based on image processing
  • Meter pointer angle identification method based on image processing
  • Meter pointer angle identification method based on image processing

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specific Embodiment approach 1

[0046] Specific embodiment one: the following combination Figure 1 to Figure 23 This embodiment will be described. The image processing-based method for recognizing the rotation angle of a meter pointer described in this embodiment includes the following steps:

[0047] Step 1. Use an industrial camera to collect a grayscale image of the instrument as the original image of the instrument; such as Figure 8 shown.

[0048] Step 2: Preprocess the original image described in Step 1 to obtain a binarized image, such as Figure 9 shown.

[0049] Step 3: Preliminarily extract the scale of the instrument panel on the binarized image, and obtain an image of the scale of the instrument panel that is initially extracted; such as Figures 10 to 13 shown.

[0050] Step 4: Perform Hough circle transformation on the initially extracted instrument panel scale image to determine the center of the instrument panel;

[0051] Step 5: Perform polar coordinate transformation on the original ...

specific Embodiment approach 2

[0057] Embodiment 2: This embodiment further describes Embodiment 1. In step 2, the process of preprocessing to obtain a binarized image is as follows: refer to Figures 10 to 13 .

[0058] Step 21, identifying a plurality of rectangular frames as regions of interest on the original image;

[0059] Step 22: Perform thresholding with a 2*2 sliding window to obtain the thresholded original image;

[0060] Step 23, using the image of the Canny operator to extract the contour of the thresholded original image, and retain the contour of the scale area;

[0061] Step 24: Perform image erosion on the thresholded original image using a 3*3 template to obtain an erosion thresholded image,

[0062] The 3*3 template traverses the thresholded original image, and a pixel is retained when there are pixels in the 3*3 area, otherwise, the pixel is removed;

[0063] Step 25 , searching for a connected domain in the corrosion thresholded image to obtain a binarized image.

[0064] Set featu...

specific Embodiment approach 3

[0065] Embodiment 3: This embodiment further describes Embodiment 1 or 2, and the process of initially determining the center of the instrument panel in step 4 is as follows:

[0066] Step 41. Perform Hough circle transformation on the initially extracted instrument panel scale image, and extract circles that meet the constraints, where the constraints are: the circle contains at least continuous 180° arcs in the image;

[0067] Step 42: Determine whether there is a circle that meets the constraints,

[0068] If the judgment result is yes, then execute step 43; if the judgment result is no, reduce the resolution of the initially extracted instrument panel scale image, and then return to execute step 41;

[0069] Step 43: Using the circle of Hough transform as the benchmark, search the connected domain in the binarized image to obtain an accurate instrument panel scale image, and search for the connected domain in the binarized image to obtain an accurate image that only contai...

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Abstract

The invention discloses a meter pointer angle identification method based on image processing, belonging to the field of image processing and solving the problem of large frame difference errors when a meter pointer is detected by adopting an absolute angle method. The meter pointer corner identification method comprises the following steps of: 1, acquiring a gray level image of a meter as an original image; 2, preprocessing to obtain a binarization image; 3, obtaining a preliminarily extracted meter panel scale image; 4, carrying out Hough circle transformation and determining a circle center of a meter panel; 5, according to the circle center of the meter panel, carrying out polar coordinate transformation on the original image to obtain a polar coordinate system image; 6, analyzing an angle value scale of the y axis of a polar coordinate system and establishing a scale angle sequence; 7, searching the position of a pointer in the polar coordinate system to obtain a pointer binarization image; and 8, obtaining an angle value of the pointer binarization image towards the y axis under the polar coordinate system according to the scale angle sequence obtained in the step 6, outputting actual data of pointing of the pointer of the meter panel, and finally identifying the angle of the meter pointer.

Description

technical field [0001] The invention relates to a method for recognizing the rotation angle of an instrument pointer based on image processing, and belongs to the field of image processing. Background technique [0002] The use of image processing in the field of industrial inspection is gradually increasing, and instrument panel inspection based on image processing can largely replace the use of people to inspect instruments. The instrument detection mainly refers to the detection of its pointer turning, and it detects whether the pointer output by the test instrument is accurate under a given input signal. [0003] At present, the instrument pointer detection mainly uses the absolute angle method, mainly using the frame difference method, that is, collecting two images of different angles of the pointer, and then subtracting them, because only the position of the pointer changes, after the subtraction, there will be only two images left. image of a pointer and then proces...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/38
Inventor 钟贤德潘惠惠高会军于金泳
Owner 宁波智能装备研究院有限公司
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