Design and implementation of municipal road surface disease detection model based on deep learning
In order to improve the detection effect,this study designed a municipal road surface disease detection model based on deep learning technology.Firstly,the image data related to typical municipal road surface diseases were collected and labeled for the subsequent training of deep learning models.Secondly,the actual municipal road surface image is collected and denoised based on adaptive median filter.Finally,the marked disease features are used to train the deep convolutional neural network,and then the extracted features are input to achieve the accurate detection of road diseases through network learning.
municipal roadpavement diseasefeature extractiondeep convolutional neural networkdisease detection