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Airfield pavement disease detection method and device, electronic equipment and storage medium

A disease and road surface technology, applied in the computer field, can solve the problems of position information deviation, the inability to reflect the shape of the disease, and the inability to achieve pixel-level segmentation, and achieve the effect of improving accuracy.

Pending Publication Date: 2022-03-08
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

However, this method only achieves defect detection based on rectangular frames, but cannot achieve more refined pixel-level segmentation
In addition, the shapes of different types of diseases cannot be reflected, and the location information still has a large deviation

Method used

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  • Airfield pavement disease detection method and device, electronic equipment and storage medium
  • Airfield pavement disease detection method and device, electronic equipment and storage medium
  • Airfield pavement disease detection method and device, electronic equipment and storage medium

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Embodiment Construction

[0070] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solutions of the present invention more clearly, but not to limit the protection scope of the present invention.

[0071] The method for airport pavement disease detection provided by the embodiment of the present invention can be applicable to such as figure 1 In the system architecture shown, the system architecture includes an image sensor 100 and a disease detection model 200 .

[0072] Specifically, the image sensor 100 is used to acquire an image of road surface damage at the airport to be detected.

[0073] The disease detection model 200 is used to obtain the extraction result of the area corresponding to the disease in the road surface disease image of the airport to be detected after inputting the road surface disease image of the airport to be detected.

[0074] It s...

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Abstract

The invention discloses an airport pavement disease detection method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a to-be-detected airport pavement disease image; inputting the to-be-detected airport pavement disease image into the trained disease detection model to obtain extraction results of areas corresponding to different types of diseases in the to-be-detected airport pavement disease image; wherein the trained disease detection model is obtained by training different airfield pavement disease images and semantic segmentation truth value images and semantic edge truth value images corresponding to the different airfield pavement disease images. According to the method, pixel-level segmentation of various diseases in the airport pavement image is realized through the disease detection model, and the segmentation precision is improved.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a method, device, electronic equipment and storage medium for detecting airport pavement defects. Background technique [0002] Airport pavement safety inspection is the top priority of civil aviation operation safety, but at present, the detection of airport pavement diseases is still mainly done manually. [0003] Some of the current disease detection methods propose a secondary threshold segmentation algorithm based on morphology, which realizes the segmentation of cracks in images containing runway marks, and some use seed growth algorithms to detect cracks on multiple scales. The matching and fusion of fracture regions are performed to obtain the segmentation results of fractures. Most of these methods rely on artificially designed parameters, have poor generalization ability, cannot handle complex and changeable airport pavement pictures, and the detection accuracy is gr...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/40G06V10/764G06K9/62G06T7/12G01N21/88G06N3/04G06N3/08
CPCG06T7/0008G06T7/12G01N21/88G01N2021/8887G06F18/2163
Inventor 张宇佳吴君娴孙世颖赵晓光
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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