Image processing method and system in highway technical condition evaluation system
A technology of technical status and image processing, applied in the field of image processing, can solve the problems of omission of disease area identification, human error, huge image data, etc., to achieve the effect of scientific and reasonable logic, avoid misjudgment, and simplify complexity
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Embodiment 1
[0024] This embodiment discloses an image processing method in a highway technical condition assessment system, which is mainly applied to the detection of road surface diseases, especially suitable for road markings (for example: left turn, right turn, straight, lane dividing line, etc.) Road inspection prior to laying pavement markings and speed bumps. The main purpose of the method mainly includes: collecting continuous image sets of measured highway mileage by lane in time-sharing; determining the corresponding reference background grids for each target image; , and then calculate whether the variance of the grayscale sequence of each pixel in the grid image after the difference is greater than the set second threshold, if so, confirm the corresponding grid as a potential disease grid; The grids are merged into the same potential disease area, the boundary information of each potential disease area is automatically marked and the corresponding area is calculated; according...
Embodiment 2
[0049] Corresponding to the above method embodiments, the present 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.
[0050] To sum up, the image processing method and system in the highway technical condition assessment system disclosed by the above embodiments of the present invention at least have the following beneficial effects:
[0051] In a large number of statistical data, the area occupied by the diseased area in the collected images is usually much smaller than the normal area, and in the image set with continuous measured highway mileage, the image with the disease is compared with the normal image without the disease. , is also a small probability event. Thereby, the reference ...
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