Road crack intersection extraction method and system

Abstract

The invention provides a road crack intersection extraction method and system. The road crack intersection extraction method comprises the following steps of collecting an original road image containing cracks to be performed on image preprocessing and obtaining a crack image after preprocessing; rough selecting candidate points of a crack central line according to the crack image after preprocessing, analyzing relevant matrix structures through candidate point supplement by tensor voting to obtain structure information of the candidate points, enhancing cross point structures in an iterating mode by tensor voting, extracting the cross points based on a finally obtained clear ball tensor significance graph and outputting a result. The road crack intersection extraction method is mainly characterized by being accurate. A good detection result can be obtained under condition that the road crack image has strong noise, oil stains and uneven illumination due to the fact that the crack structure information can be enhanced and scattering noise points can be restrained during the tensor voting process. The road crack intersection extraction method is also applicable to discontinuous cracks due to the fact that the tensor voting has an extrapolation function.

Description

technical field [0001] The method belongs to the technical field of image processing and recognition, and particularly relates to a method and system for extracting road crack intersections, which can automatically determine the positions of road crack intersections in real time during the road surface image collection process. Background technique [0002] In recent years, with the rapid development of my country's highway construction and the popularization of small cars, the number of road diseases in my country has also increased, especially road cracks. If the pavement crack disease is not treated in time, it will pose a potential threat to the driving safety of vehicles, and will also greatly shorten the service life of the road, causing great economic losses to the country. There is an urgent need for regular inspections of pavement conditions so that maintenance measures can be taken at an early stage of disease. As a feature point on cracks, the number and area of ...

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Problems solved by technology

If the effect of pretreatment is not good, the reliability of subsequent crack detection results will be poor, and cracks with inconspicuous gray levels will be missed.

[0007] 3) In order to extract the cracks, many methods will refine and extract the skeleton based on mathematical morphology, which requires traversing the pixels on the image and thus affects the efficiency of the method

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