| Today, China’s rapid economic development, along with the economic take-off, traffic ismore and more developed car ownership is constantly growing. At the same time, however,the problems a lot of road traffic safety is becoming the focus of attention. Frequent roadtraffic accidents occur, have brought great harm to people’s lives and families. Therefore, thesafety of the vehicle traveling more and more extensive attention. Currently, road trafficaccidents occur frequently resulted in staggering casualties and economic losses. Studies haveshown that about15%of road traffic accidents caused by vehicles leaving the road, mainlydue to driver inattention or fatigue driving. Lane departure warning system can be effectivelyreduced the occurrence of road traffic accidents, lane departure warning system is an alarmthe way assisted the driver avoid or reduce lane departure system of the accident. Departurewarning as a vehicle has significantly increased the traffic potential of active safety, theimportance attached by the domestic and foreign researchers. The system has broad marketpotential and value.Vehicle departure warning system, the most important image information through theacquisition of the road, and then carry out the analysis of the relative position of roads andvehicles, the vehicle deviation alarm is very important, so the image acquisition and analysismodule, whose performance directly affects the sensitivity of the system as a whole.This paper describes how a color image processing, image information are useful tous. A color image through our format conversion, gray-scale transformation, imagesmoothing, edge detection, seed filling, image corrosion expansion after operation has beenclearly lane. Then based on the lane from reading the coordinate calculation of slope, judgelane deviation, it is the overall train of thought. This algorithm on vehicle deviation is a newalgorithm, calculation is simple, after further experiments that will have new breakthrough.. |
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