Method and system for automatic screening of reference grids in road condition detection images
A technology for detecting images and grids, which is applied in the field of image processing, can solve problems such as missing disease area identification, achieve logical and reasonable results, avoid misjudgment, and simplify complexity
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Embodiment 1
[0018] This embodiment discloses an automatic screening method for a reference grid in a road condition detection image, such as figure 1 shown, including the following steps:
[0019] Step S1, calibrating the range of colors and line widths corresponding to at least part of the road marking lines in a single image collected by the image acquisition terminal mounted on the detection vehicle; and building a filter model library in which at least one manhole cover model, At least one bridge expansion joint model and at least one speed bump model.
[0020] In this step, the length and width of the road corresponding to a single image collected by the image collecting terminal on the vehicle usually need to be synchronously calibrated. The length of the road corresponding to a single image mainly refers to the mileage length corresponding to the single image; then, taking the length of the road as the minimum division unit of the measured road, the continuous images of the measur...
Embodiment 2
[0041] Corresponding to the above method embodiments, this embodiment discloses an image processing system in a highway technical condition assessment system, including a memory, a processor, and a computer program stored in the memory and running on the processor, wherein the When the processor executes the computer program, the steps corresponding to the above method embodiments are implemented.
[0042] To sum up, the methods and systems for automatic screening of reference grids in road condition detection images disclosed in the above embodiments of the present invention confirm that the logic of potential reference grids is scientific and reasonable, so as to improve the universality and reliability of intelligent screening of diseased areas. Reliability is guaranteed.
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