Road marking abrasion defects detection based on video image processing

Pavement marking occupies an important position in the road traffic safety operation. A large number of domestic and foreign research and practice has proved that the effective use and maintenance of road signs and markings reduce traffic accidents and improve the capacity of great significance. The main content of this paper is the design of mobile video image acquisition device to road damage to the road traffic marking defect detection, video image to carry out research on road marking based on wear and breakage from video images. The process is random image acquisition of pavement markings, respectively the image pre-processing, image binarization, marking angle correction, marking extraction and detection. Finally, developing software on marking the wear and damage degree detection based on Matlab software then have an image processing experiments. The results show that the software can accurately detect the road wear and damage situation.


Introduction
With the rapid development of human science and technology, the car is playing a more and more important role in people's life.However, the development of the automobile has improved people's living standards, but at the same time, it also brings a lot of traffic accidents.Related materials show: only in 2009, China has thousand people died in traffic accidents, accounted for one fifth of the world's total [1].This makes us alert and aware of the urgency to solve the problem of traffic safety.
According to a large number of domestic and foreign research and practice has proved that the effective use and maintenance of road signs and markings can reduce traffic accidents and increase traffic capacity, save energy, protect the environment of road [2].Thanks to the rapid development of artificial intelligence computer vision technology, image and video technology has been widely used in intelligent transportation systems and unmanned vehicle systems.Carnegie Mellon University developed a Navlab.X [3] series product system that is based on road flat assumption and using the characteristics of the parallel to the road, such as the lane line, rut, road boundary.University of Parma's PROMETHEUS project has an important part of the GOLD (Generic Obstacle and Lane Detection) [4].The basic principle of the visual system is using camera as a navigation tool, to analysis the captured image, to detection and extraction of the lanes to avoid obstacles using stereo vision.France Citroen technology center and Pascal university automation and electronic materials science laboratory in France have cooperation in the development Puegoct system [5].The main principle is using Gauss filter and filter to calculate lane using gradient derivative of the noise left (or right) edge.Real-time and robustness are good.Xin Zhou [6] proposed a of lane lin the lane, w transportat pavement This article wear and te

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Conclusions
The road markings defect detection based on video image processing technology are mainly about image preprocessing, binarization, morphological processing, extraction and marking correction by Matlab process.Next we can get the marking of the wear and damage performance.Based on all those, develop markings wear detection software.Experiments prove that the software can be a very good marking processing and can get marking the wear and breakage accurately.
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