A visual recognition method of building cracks based on the fusion of attention mechanism and resnet

A technology of crack identification and identification method, which is applied in the field of computer image processing, can solve problems such as the inability to overcome the black box mechanism of the neural network model, the difficulty of determining the network model, and the inability to layer visualization, etc., to speed up training and convergence speed, and run quickly , Reduce the effect of manual inspection

Active Publication Date: 2022-07-08
FUZHOU UNIV
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Problems solved by technology

However, the recognition accuracy of the existing deep neural network model for crack detection is not high, and at the same time, it cannot overcome the black box mechanism of the neural network model. In addition, it is impossible to see the recognition results of each layer in the network layered and visualized, which will also lead to difficulties. Determine the optimal network model, so the current crack deep learning models are mostly designed based on experience

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  • A visual recognition method of building cracks based on the fusion of attention mechanism and resnet
  • A visual recognition method of building cracks based on the fusion of attention mechanism and resnet
  • A visual recognition method of building cracks based on the fusion of attention mechanism and resnet

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[0040] The technical solutions of the present invention will be described in detail below with reference to the accompanying drawings.

[0041] It should be noted that the following detailed description is exemplary and intended to provide further explanation of the application. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0042] It should be noted that the terminology used herein is for the purpose of describing specific embodiments only, and is not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly dictates otherwise, the singular is intended to include the plural as well, furthermore, it is to be understood that when the terms "comprising" and / or "including" are used in this specification, it indicates that There are features, steps, operations, devices, co...

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Abstract

The invention relates to a visual recognition method of building cracks based on the fusion of attention mechanism and ResNet. Including: (1) Using drones to collect building crack images to construct a crack dataset; (2) Using histogram equalization, bilateral filtering and image center random cropping for crack images for data preprocessing and data enhancement; (3) A building crack recognition model based on the combination of attention mechanism and deep residual neural network is established; (4) The gradient weighted class activation heat map algorithm is used to visualize the image recognition results hierarchically, and the network structure and Network parameters, build and optimize the final model; (6) use the optimized model to detect images in the actual scene. The invention can identify cracks quickly and accurately, and can effectively break the black box mechanism of the neural network in the identification process, thereby providing a visual basis for the adjustment of the network structure.

Description

technical field [0001] The invention relates to the technical field of computer image processing, in particular to a visual recognition method for building cracks based on the fusion of attention mechanism and ResNet. Background technique [0002] In the process of engineering construction, the quality and safety inspection of buildings is an extremely important link. Among them, the detection of building exterior wall cracks is particularly important. It will not only affect the function and beauty of the building, but also reduce the structural safety and the seismic performance. Therefore, the rapid and accurate detection and identification of building cracks is an urgent problem to be solved in the field of structural health inspection. [0003] At present, the detection and identification of building cracks often adopts the method of manual periodic inspection. However, this method has great subjectivity, and the inspection is time-consuming and labor-intensive, with ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T5/20G06T5/40
CPCG06T7/0004G06T5/20G06T5/40G06T2207/20028G06T2207/20081G06T2207/20084G06T2207/30132Y02T10/40
Inventor 范千周梦原夏樟华
Owner FUZHOU UNIV
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