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Pavement crack detection method, device and equipment

A technology for pavement cracks and detection methods, applied in the field of image processing, can solve the problems of poor crack recognition effect and the need to improve the accuracy of crack recognition, and achieve the effect of improving the accuracy

Pending Publication Date: 2019-09-24
APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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Problems solved by technology

[0003] In related technologies, scheme one detects pavement cracks based on the method of saliency detection, and uses some significant difference (such as color difference) between the surrounding area of ​​the crack and the crack area on the image to identify the crack on the pavement. However, this scheme is easily affected by The influence of noise and some sundries on the road surface leads to the improvement of the accuracy of crack identification
Scheme 2 detects pavement cracks based on the minimum path selection scheme. Through the geometric topological shape and rules in the crack image, the unclosed curve is found according to the topology algorithm, that is, the general crack shape. This scheme is suitable for some inconspicuous cracks and closed ones. Crack identification is poor

Method used

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  • Pavement crack detection method, device and equipment
  • Pavement crack detection method, device and equipment

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Embodiment Construction

[0044] Embodiments of the present invention are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals designate the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary and are intended to explain the present invention and should not be construed as limiting the present invention.

[0045] The pavement crack detection method, device and equipment according to the embodiments of the present invention will be described below with reference to the accompanying drawings.

[0046] figure 1 A schematic flow chart of a pavement crack detection method provided by an embodiment of the present invention, such as figure 1 As shown, the method includes:

[0047] Step 101, acquiring a first road surface image to be detected.

[0048] In this embodiment, when detecting road surface cracks, the image of the road surface...

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Abstract

The invention provides a pavement crack detection method, device and equipment, and the method comprises the steps: obtaining a to-be-detected first pavement image; segmenting the first pavement image into a plurality of second pavement images; inputting the second pavement image into a pre-trained classification model for processing to obtain a classification result of the second pavement image; and determining cracks in the first pavement image according to the classification result. The accuracy of crack identification is improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device and equipment for detecting road surface cracks. Background technique [0002] With the continuous improvement of highway infrastructure, the transportation efficiency and transportation capacity of expressways are also constantly improving. The increase in highway mileage and highway transportation capacity has brought about an unavoidable problem: road maintenance. Pavement crack identification is crucial for road maintenance. [0003] In the related technology, scheme 1 detects pavement cracks based on the method of saliency detection, and uses some significant difference (such as color difference) between the surrounding area of ​​the crack and the crack area on the image to identify the crack on the pavement. However, this scheme is easily affected by The influence of noise and some sundries on the road surface leads to the need to improve ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/11G06N3/08G06T2207/20021G06N3/045G06F18/241
Inventor 杨宇昊
Owner APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD
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