Method for recognizing rain-wind induced vibration waterline of stayed cable based on computer vision
A computer vision and recognition method technology, applied in computer parts, calculations, character and pattern recognition, etc., can solve the problems of complex measuring instruments, large measurement errors, and difficulty in obtaining information on the axial distribution of the waterline, and achieve high measurement accuracy. , The effect of small identification error and simple installation
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Embodiment 1
[0049] A computer vision-based waterline identification method for wind and rain-induced vibration of cable-stayed cables is as follows:
[0050] The surface of the stay cable is wrapped with yellow PVC film material, and a waterline positioning grid composed of axial and transverse coordinate lines along the cable is set on the surface of the stay cable. The red waterline is formed by mixing red dye in the water, and then passed through the high-speed CCD The camera shoots the moving image of the waterline on the stay cable. The original waterline image adopts the RGB color model. Since there is an obvious color difference between the waterline and the surface of the stay cable, the threshold ε is defined:
[0051] ε(x,y)=R(x,y)-B(x,y)+R(x,y)-G(x,y) (1)
[0052] In the formula, R(x, y), G(x, y) and B(x, y) respectively represent the red, green and blue color channels corresponding to the pixel point (x, y) in the original image using the RGB color model The value of , the area...
Embodiment 2
[0080] In this embodiment, the formula in Embodiment 1 is used to set the measurement area on the surface of the stay cable, and draw a coordinate grid system such as figure 1 As shown, the waterline motion image on the stay cable is captured by a high-speed CCD camera as shown in figure 2 shown. The flow chart of the image processing algorithm designed in this embodiment is shown in image 3 . The specific waterline identification method is as follows:
[0081] According to formula (1) and formula (2), the waterline is identified from the original picture based on the color difference comparison, such as Figure 4 shown;
[0082] According to formula (3) based on the modified grayscale calculation formula, the original image is converted into a grayscale image with waterline color removed, such as Figure 5 shown;
[0083] According to the formula (4), the grayscale image is converted into a binary image with only the coordinate grid system based on the grayscale thre...
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