Pavement crack detection method, device and equipment and storage medium

Abstract

The embodiment of the invention provides a pavement crack detection method, device and equipment and a storage medium. The method comprises the steps that acquiring multiple preset pavement sample images; preprocessing the plurality of preset road surface sample images based on gamma correction; training the convolutional neural network model; predicting the trained convolutional neural network model; if it is determined that training is stopped according to the prediction result, obtaining a test convolutional neural network model; testing the tested convolutional neural network model; if thetest result is within a preset target result range, obtaining a target convolutional neural network model; and inputting a three-channel image corresponding to a to-be-detected pavement image into the target convolutional neural network model to obtain pavement crack information in the to-be-detected pavement image. According to the method provided by the embodiment of the invention, the problemsthat the crack recognition rate cannot be ensured and time and resources are wasted in the prior art can be solved.

Description

technical field [0001] The embodiments of the present application relate to the technical field of image recognition, and in particular to a method, device, equipment, and storage medium for detecting pavement cracks. Background technique [0002] Cracks are an important indicator of road damage, and with the increasing development of my country's road traffic system, pavement crack detection is a very important task for the daily inspection and maintenance of roads. [0003] At present, pavement crack detection methods mainly use traditional image recognition methods. Since the pavement images collected in the actual environment often have the characteristics of complex illumination and high noise information, the traditional image recognition methods used in actual pavement collection images have a low recognition accuracy and cannot Meet the performance requirements of practical engineering. Therefore, existing pavement crack detection methods cannot guarantee the recogn...

AI Technical Summary

Problems solved by technology

[0004] The embodiment of the present application provides a pavement crack detection method, device, equipment and storage medium to overcome the problem that the existing pavement crack detection method cannot guarantee the recognition rate of cracks and wastes time and resources at the same time

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