Prewitt operator-based pavement crack recognition method and system

Abstract

The invention provides a Prewitt operator-based pavement crack recognition method and system. The method comprises the steps of S1, performing first image processing on an input pavement image to remove a region outside a pavement so as to obtain a pavement region image; S2, performing second image processing on the pavement region image to remove a pavement boundary line; and S3, performing preliminary recognition and accurate recognition on a pavement crack to obtain pavement crack data. According to the method and the system, the pavement image is subjected to calculation processing based on a Prewitt operator, a useless image outside the pavement is filtered, image interference and noises of a pavement region are gradually removed, the pavement crack is extracted, the length of the crack is calculated, and quantitative output is performed, thereby facilitating comparison with an actual standard; the method and the system are mainly applied to the pavement crack detection of complex high-altitude motion background and scene; and compared with various common crack detection algorithms, the method and the system have the advantages that the adaptability is higher and a better aerial image-based crack recognition effect is achieved.

Description

technical field [0001] The present invention relates to the field of image processing, and more specifically, to a method and system for identifying pavement cracks based on Prewitt operators. Background technique [0002] At present, one of the main damage forms of highway pavement is pavement crack, among which, the crack types of highway in my country are mainly transverse and longitudinal cracks. If the cracks can be found in the early stage and track their development, the maintenance cost of the road surface will be greatly reduced, and the driving safety of the expressway can be guaranteed at the same time. Therefore, it is extremely important to conduct regular surveys and maintenance on the pavement condition of the highway. [0003] The pavement crack detection method has been developed from the initial manual detection method; with the application of image processing technology, the vehicle-mounted acquisition device and image processing technology are combined a...

AI Technical Summary

Problems solved by technology

However, these existing methods are basically based on the detection and development of the image of the vehicle acquisition device, and cannot be applied to aerial images with more interference and noise.

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