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Pavement disease image segmentation method and system based on deep learning

A technology of deep learning and image segmentation, applied in the field of image processing, to achieve the effect of improving accuracy, improving generalization ability and robustness, and real-time human-computer interaction

Pending Publication Date: 2021-04-02
BESTDR INFRASTRUCTURE HOSPITAL (PINGYU) +1
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Problems solved by technology

However, the above problems cannot be effectively solved
[0005] Therefore, there are deficiencies in the existing pavement disease identification technology, which needs to be improved and improved.

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  • Pavement disease image segmentation method and system based on deep learning
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  • Pavement disease image segmentation method and system based on deep learning

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Embodiment Construction

[0050] In order to make the object, technical solution and effect of the present invention clearer and clearer, the present invention will be described in further detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0051] It is to be understood by those skilled in the art that the foregoing general description and the following detailed description are exemplary and illustrative specific embodiments of the invention and are not intended to be limiting of the invention.

[0052]Herein the terms "comprises", "comprising" or any other variation thereof are intended to cover a non-exclusive inclusion such that a process or method comprising a list of steps includes not only those steps, but may include steps not expressly listed or inherent in such process or method other steps. Likewise, one or more equipmen...

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Abstract

The invention relates to image processing, in particular to a pavement disease image segmentation method and system based on deep learning. The pavement disease image segmentation method based on deeplearning comprises the steps of obtaining a pavement detection image; inputting the pavement detection image into a disease segmentation model obtained by training by using a disease database througha deep learning network; and recognizing and segmenting the pavement diseases to obtain a pavement disease segmentation image. According to the disease segmentation method provided by the invention,image segmentation is carried out by adopting a deep learning algorithm, automatic acquisition of a pavement disease area is realized, and the image segmentation is more accurate while the working efficiency is improved.

Description

technical field [0001] The present invention relates to image processing, in particular to a method and system for segmenting road surface disease images based on deep learning. Background technique [0002] In recent years, my country's highway construction has achieved world-renowned achievements, and the mileage of highways has increased rapidly. However, no matter whether it is a cement pavement or an asphalt pavement, after it has been opened to traffic for a period of time, various defects such as damage and deformation will appear one after another due to factors such as design and construction, among which cracks, cracks and potholes are the most common. How to quickly and accurately find and repair these hidden dangers at an early stage to prevent further deterioration of structural performance has become an urgent problem in the field of road engineering maintenance. [0003] There are currently two main approaches to pavement disease detection. The first is to u...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/10
CPCG06T7/10G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/20132G06T7/001G06T2207/30184G06N3/084G06N3/045G06T7/11G06T7/0012G06T7/0002
Inventor 方宏远王念念董家修马铎张娟胡浩邦庞高兆雷建伟
Owner BESTDR INFRASTRUCTURE HOSPITAL (PINGYU)
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