A method for pavement crack recognition based on road image
A recognition method, a technology for pavement cracks, applied in character and pattern recognition, instruments, calculations, etc., can solve problems such as reducing the accuracy of pavement disease estimation, increasing the rate of crack misrecognition, and not considering the impact of crack recognition
Inactive Publication Date: 2019-02-15
LIAONING TECHNICAL UNIVERSITY
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[0004] Although the above method can complete the crack identification well, because the surrounding environment will change constantly during the driving process of the vehicle, there may be many kinds of interference in the images collected by the camera, including: the projection of trees and vehicles, and lighting changes , oil stains, sticks and straws and other strips, various types of garbage, etc., and the above methods have not considered the impact of such interference on crack identification
For example, using the "Introduction of a wavelet transform based on 2Dmatched filter in a Markov random field for fine structure extraction: Application on road crack detection" method will misidentify branches and straws as cracks. In this case , the misidentification rate of cracks will increase, thereby reducing the accuracy of pavement disease estimation and indirectly affecting pavement maintenance work
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[0042] The specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0043] In order to improve the identification rate of road cracks, it is necessary to analyze the disturbances on the road surface that may affect the identification of cracks. figure 1 Various types of interferents are given. figure 1 (a) is an image containing uneven illumination, oil stains and tree shadows. By analyzing multiple similar images, it is concluded that figure 1 (b) ~ (e) interference. figure 1 (b) is a road surface image containing branches and straw, and figure 2 Compared with the four typical road cracks in (a)-(d), their shape characteristics are similar, and they can all be summarized as line shapes. figure 1 (c) Oil stains on the pavement, except for some areas that are similar in shape to cracks, usually accompanied by blocky areas. figure 1 (d) is the projection of trees and vehicles, and the illumination inten...
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A method for identifying road surface cracks based on road images, comprising: performing binarization processing on block images to form preliminary segmented road images, dividing them into several regions, and filtering regions whose area is smaller than an empirical threshold to obtain preliminary recognized road images; Ellipse fitting is performed on each area, and the ellipse area whose eccentricity is less than a given threshold is removed; the angle between the major axis of each ellipse area and the horizontal direction is calculated, the main direction of the ellipse is determined, and the centroids in the same direction are classified into one category; Each classification establishes a coordinate system with each centroid as the origin, calculates the angle between each centroid and the horizontal axis in the coordinate system, and the distance between the centroid and other centroids, and divides the centroids whose spacing in the same direction is smaller than the set distance threshold as One type, the length of the diagonal of the smallest enclosing rectangle of each collinear area is taken as the length of the identified road crack. This method can not only effectively identify cracks, but also overcome the interference of various factors in the environment, and the false identification rate is low.
Description
technical field [0001] The invention relates to the technical field of pavement crack recognition, in particular to a road image-based pavement crack recognition method. Background technique [0002] Cracks are one of the most common types of asphalt concrete pavement damage. Collecting pavement image data can truly reflect pavement damage, and it is an important link in pavement maintenance. The use of computer for automatic crack detection can complete the identification more objectively and reasonably, thus avoiding the shortcomings caused by relying only on human subjective traditional inspection methods. The grade assessment of pavement cracks is one of the basic tasks of highway maintenance. At present, many surveying and mapping departments mainly collect road images through line array cameras. Because the road environment will be disturbed by many factors (projection of trees and vehicles, light changes, oil stains, branches and Straw and other strips, various types...
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IPC IPC(8): G06K9/00
CPCG06V20/20
Inventor 贾迪宋伟东戴激光董娜朱红
Owner LIAONING TECHNICAL UNIVERSITY