Detecting algorithm for identifying meter needle
A detection algorithm and instrument pointer technology, applied in character and pattern recognition, instruments, calculations, etc., can solve the problems of repetitive work, negligence and errors, and low reliability, and achieve the effect of improving accuracy and overcoming large errors
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[0079] Step 1: Collect the color image I of the instrument to be tested (gas pressure gauge). The coordinates of the center of the instrument are known to be (x0,y0)=(862,524), the outer diameter l1=399, and the inner diameter l2=301. Pay attention to keep the meter as straight as possible when shooting;
[0080] Step 2: Use the rgb2gray() function of the Matlab toolbox to grayscale the color image I to obtain a grayscale image I1, such as Figure 4 shown;
[0081] Step 3: If figure 2 As shown in , the grayscale image I1 is cropped by the method of distance comparison, and the cropped image I2 of the meter and pointer is obtained, as shown in Figure 5 shown; the specific steps are as follows:
[0082] 1) Let the position of the point on the image be (i, j) and the range is 1≤i≤a, 1≤j≤b, where [a,b] is the pixel matrix of image I1.
[0083] 2) If the distance from the point to the center of the meter is greater than or equal to the outer diameter of the meter is 399, then...
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