Research of lane detection and recognition technology based on morphology feature

With the increasing of vehicle, people pay much attention to Intelligent Vehicle Visual Navigation System. Lane detection is the most important function of Intelligent Vehicle Visual Navigation System. When selected seed points are correct, the accuracy of the method of road region extraction based on regional growth is high. This method can identify lane region exactly. But when selected seed points are wrong, lane identification will fail, and lead into some interference information. In this paper, the deficiency of this method is improved. It uses this method to identify lane feature region, and introduces the area threshold value to filter scanned region growing area. This can reduce the interference of useless information on lane identification.