Improved Traffic Lane Edge Detection Algorithm Based on Mathematical Morphology

In view of the limited anti-noise of traditional traffic lane edge detection algorithm, the paper put forward to a new traffic lane edge detection algorithm based on traditional mathematical morphology. For solving the problem of uneven road surface caused by illumination and rainy, this paper combine two method of morphological filter and Otsu to segment image and take the improved algorithm to detect the traffic lane edge. Finally, through collecting the images of a campus road under different environment factors, detect traffic lane edge by using the improved algorithm .The simulation results show that, under various weather conditions, this algorithm can detect traffic lane edge correctly and continuously, and have a strong capability of anti-noise. This improved algorithm is of certain guiding significance in practice.