Concrete crack width measuring method based on U-net CNN image recognition and pixel calibration
A technology of pixel calibration and crack width, applied in image enhancement, image analysis, image data processing, etc., can solve the problems of low detection efficiency and difficulty in adapting to the large and complex monitoring data, and achieve simple structure, complete and clear crack identification process, Approach intelligent rigorous effect
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[0067] Take 100 crack photographs taken on the scene of a bridge survey in Jiangsu Province as an example below to illustrate the specific implementation process of the present invention.
[0068] (1) Check the photo properties to obtain the focal length parameters of each photo, and mark the photos in combination with the shooting distance parameters measured by the laser rangefinder during on-site shooting.
[0069] (2) Randomly divide the photos into a training set of 70 and a test set of 30. according to figure 2 The layer structure shown, constructs the U-net CNN network. It is divided into 9 layers, and each layer is composed of convolution layer, regularization layer, ReLU activation function, group pooling layer, deconvolution layer, and Softmax activation function. The convolution layer realizes feature extraction; the regularization layer limits the output of each layer to a fixed distribution, which speeds up the network training; the ReLU activation function rea...
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