Research On Algorithm Of Asphalt Pavement Cracks Detection Based On Range Image

At present,China's economic construction is growing rapidly,driven by the road as a major factor in the region's living standards,which are constantly increasing traffic mileage will also encounter many problems.Asphalt is the main material of the highway,and as the impact of increased the usage time and environmental factors,asphalt pavement prone to various diseases.Temperature,climate,pavement construction,use of time and other factors contributed to the crack,the crack is an early form of the majority of asphalt pavement,which reduced pavement roughness make directly,will also hindering the vehicle while driving,thus destroyed the pavement structure.To prolong the life of the pavement,road safety performance to strengthen research,it is necessary to detect cracks in asphalt pavement technologies.For decades,the technology used to detect the disease in the pavement is a classic problem of widespread concern in the field of traffic engineering information,with the continuous development of Science and Technology,a variety of new testing equipment is emerging,greatly contributed to the study of pavement crack of automatic identification technology.In earlier years,pavement cracks automatic identification technology research mainly use grayscale image,grayscale image is susceptible to pavement texture,lighting,and many other environmental factors,so that early recognition of fracture is difficult to obtain good results.Existing algorithms are based on good-quality images,and can not adapt to the complexity of actual pavement image,too,it is difficult to apply to practical engineering.This paper studies the asphalt pavement crack recognition technology,based on pavement range image data acquired by the high-precision three-dimensional laser-based detection system,This paper mainly do the following work for pavement crack recognition range image: Firstly,improved a method to eliminate nulls in the pavement range of image data generated in the acquisition process;Combined with median filtering and bilateral filter to process the image for removing noise and protect the edges.Presents an image enhancement algorithm based on salient features,Achieve the purpose of highlighting the fracture zones and eliminating pavement irregularities effect on subsequent segmentation;Finally,improved crack segmentation algorithm combined sub-block segmentation and multi-directional detection sobel operator of thought.The algorithm can detect cracks in the range image quickly and efficiently.Experimental results show that the proposed method of automatic recognition based on asphalt pavement crack range image is feasible,combined with article image preprocessing,feature enhancements significant and fracture identification methods,can detect cracks in the asphalt pavement range image with higher quality results.