Pointer instrument digitalization method
A pointer-type, pointer-based technology, which is used in instruments, character and pattern recognition, computer parts, etc., can solve problems such as large changes in the background, and achieve the effects of simple method, short time-consuming, and high detection efficiency.
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Embodiment 1
[0047] see figure 1 , the technical solution of the present invention that is the embodiment of the present invention is the flow chart of the steps of the pointer instrument digitization method, comprising the following steps:
[0048] S10, acquiring the pointer instrument panel picture;
[0049] S20, the Hough transform extracts the straight line;
[0050] S30, filter out a straight line representing the scale;
[0051] S40, determine the origin of the pointer;
[0052] S50, identify the scale of the pointer instrument panel.
[0053] In a specific embodiment, there are mainly two types of pictures to be acquired: (1) industrial camera shooting; (2) mobile intelligent shooting. The shooting speed of industrial cameras is much higher than that of ordinary cameras, and the shutter time is very short, which can capture fast-moving objects. Moreover, the data output by industrial cameras is raw data, and its spectral range is relatively wide, which is more suitable for high-...
Embodiment 2
[0055] see figure 2 , figure 1 The S20 in S20 specifically includes the following steps:
[0056] S201, converting the obtained pointer instrument panel image into a grayscale image;
[0057] S202, Gaussian to remove noise, improve image quality;
[0058] S203, extracting image edges;
[0059]S204, performing binarization processing;
[0060] S205, mapping to Hough space;
[0061] S206, taking a local maximum value, setting a threshold, and filtering the interference straight line;
[0062] S207, draw a straight line, and calibrate the corner points.
[0063] Hough transform is one of the basic methods for recognizing geometric shapes from images through image processing. It is widely used and there are many improved algorithms. It is mainly used to separate geometric shapes (such as straight lines, circles, etc.) with certain characteristics from the image. In the present invention, straight lines are detected from black and white images through Hough transform. In ...
Embodiment 3
[0065] see image 3 , figure 1 S30 in S30 specifically includes the following steps:
[0066] S301, limit the angle of the obtained straight line, the angle range of the scale line of the instrument panel is 0-90°, and remove part of the interfering straight line by setting the range of the slope of the straight line;
[0067] S302, limit the length of the obtained straight line, there are two main types of straight lines representing the scale of the instrument panel, one is longer, representing the scale 0, 150, 300, 450, and the other is shorter, ranging from 0 to 150, 150 ~300, between 300~450, by limiting the length of the line between the short scale and the long scale, obtain a straight line representing the scale of the instrument panel.
[0068] After the Hough transform, all the straight lines on the instrument panel are extracted. In order to obtain the scale on the instrument panel, the straight lines obtained after the Hough transform need to be screened.
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Abstract
Description
Claims
Application Information
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