Pavement crack rapid extraction method based on two-step convolutional neural network

Abstract

The invention discloses a pavement crack rapid extraction method based on a two-step convolutional neural network, and the method comprises the steps: carrying out the classification and judgment of whether there is a crack in a sub-block or not according to the characteristics that a pavement image is large in size and the recognition time is long, discarding the sub-block which is judged to be not damaged, and carrying out the second-step semantic segmentation of the damaged sub-block. In the classification process, a convolutional neural network 1 subjected to hyper-parameter optimization for a fracture continuous topological structure is adopted for training, according to a training result of the convolutional neural network 1, in the semantic segmentation process, a convolutional neural network 2 without downsampling is adopted for training, and a segmentation result with pixel-level accuracy is output. Because the proportion of the crack area in the pavement image is far less than that of the intact area, the two-step extraction method of classification and segmentation can quickly discard a large number of non-target areas before segmentation, avoids wasting the computing power, and greatly accelerates the recognition speed on the basis of very small recall ratio loss compared with a crack extraction algorithm of one-step direct semantic segmentation.

Description

technical field [0001] The invention relates to the technical field of automatic road surface detection, in particular to a method for quickly extracting road surface cracks based on a two-step convolutional neural network. Background technique [0002] With the continuous deepening of reform and opening up, the state has increased investment in road infrastructure year by year, the total mileage of my country's road network has grown rapidly, and the accessibility of road transportation networks has improved significantly. According to the 2018 National Bureau of Statistics report: By the end of 2017, the total mileage of national highways reached 4.7735 million kilometers, 5.4 times that of 1978, with an average annual growth of 4.4%; the road density reached 49.72 kilometers per 100 square kilometers, and the road density per 100 square kilometers Improved by 40.45 kilometers. my country's road construction is gradually improving, and road maintenance has received more a...

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