Method, system and device for rapid detection of foreign objects in leaking holes of railway wagons
The technology of a railway freight car and a detection method is applied in the directions of railway vehicle shape measuring instruments, railway car body parts, railway auxiliary equipment, etc., which can solve the problems of inability to take into account the detection accuracy rate and detection time, and achieves saving manpower input and uniform operation standards. , to ensure the effect of accuracy and stability
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specific Embodiment approach 1
[0048] Specific implementation mode one: combine figure 1 To describe this embodiment in detail,
[0049] This embodiment is a rapid detection method for foreign objects in leaking holes of railway wagons, including the following steps:
[0050] s1. Obtain the area image img_a of the leakage hole to be detected, and the width and height of the image img_a are w and h respectively;
[0051] s2. Obtain the binary image img_b according to the image img_a of the area of the leakage hole. In the image img_b, the background area other than the oblique line of the locking plate is 0 pixels; the oblique line of the locking plate refers to the broken line groove above the locking plate after being photographed Polyline shadows formed on the image;
[0052] According to the binary image img_b, determine the coordinate values (x1, y1) and (x2, y2) at both ends of the oblique line of the positioning locking plate, and calculate the lateral distance dis_x and the longitudinal distanc...
specific Embodiment approach 2
[0067] This embodiment is a rapid detection method for foreign objects in leaking holes of railway wagons. In this embodiment, the following processing needs to be performed after step s5 and before step s6:
[0068] Divide the background template image evenly in the horizontal direction into two template subimages on the left and right, and make a difference between the two template subimages to obtain the difference result image; check the number of pixels in the difference result image greater than the difference threshold, when the number of pixels is within the background template image If the proportion is greater than or equal to 10%, perform 5x5 Gaussian filter processing on the background template image; otherwise, directly execute s6.
[0069] Other steps and parameters are the same as those in the first embodiment.
specific Embodiment approach 3
[0071] This implementation mode is a rapid detection method for foreign objects in leaking holes of railway freight cars, and the rapid detection method for foreign objects in leaking holes of railway freight cars also includes:
[0072] s9. When the value of x1 is greater than w / 2, flip the image img_a left and right to obtain a flipped image, use the flipped image as a new image img_a, and use the new image img_a to execute steps s1 to s8.
[0073] Other steps and parameters are the same as those in Embodiment 1 or 2.
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