Crack automatic detection method based on three-dimensional virtual pavement

Abstract

The invention discloses a crack automatic detection method based on a three-dimensional virtual pavement. The crack automatic detection method comprises the steps that (1) the three-dimensional virtual pavement is established by carrying out blanking processing and illumination model processing of a pavement depth image having a pixel of 1mm, and four projection images omega 1 to omega 4 are generated after three-dimensional projection at four angles; (2) the dimensional reduction processing, the crack identification including intensity verification and symmetry detection, and the crack connection of the four projection images omega 1 to omega 4 generated by the step (1) are sequentially carried out to acquire shadow region crack images omega s 1 to omega s 4 and reflection region crack images omega r 1 to omega r 4; (3) the crack information of the shadow region crack images omega s 1 to omega s 4 and the crack information of the reflection region crack images omega r1 to omega r 4 are effectively integrated together, and after depth verification and sliding denoising processing, a crack image is acquired. Based on a test of 255 images (4096*2048), a test result shows that an algorithm has a higher accuracy (average 80.34%) and a higher recall rate (average 83.89%), and is better than an ADA3D algorithm by an F value of 80.47%.

Description

technical field [0001] The invention relates to a pavement crack detection method, in particular to an automatic crack detection method based on a three-dimensional virtual pavement, and belongs to the technical field of three-dimensional image acquisition. Background technique [0002] Cracks are one of the most common, most prone and earliest diseases among all kinds of damage to the road surface. It accompanies the entire service life of the road and aggravates with the growth of road age. Pavement cracks not only affect the appearance of the road and driving Comfortable, and easy to expand, causing structural damage to the pavement and shortening the service life of the pavement. Therefore, timely detection of pavement crack damage should be carried out, and maintenance measures should be formulated and implemented. Otherwise, rainwater and debris will enter the surface structure and roadbed along the cracks, resulting in a decrease in the bearing capacity of the pavemen...

AI Technical Summary

Problems solved by technology

[0005] Looking at the research on pavement crack recognition algorithms, only two-dimensional image processing methods are still used to detect cracks, without considering the three-dimensional space characteristics of the pavement. In order to further mine the pavement three-dimensional information that is beneficial to crack detection, it is necessary to Research on pavement crack detection based on three-dimensional features

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