The vehicle edge detection based on homomorphism filtering and fuzzy enhancement in night-time environments

This article presents a novel vehicle edge detection algorithm based on Canny operator in nighttime environment. Firstly, spatial homomorphism filtering is used to eliminate the illuminating influence; then an improved self-adaptive fuzzy enhancement Canny operator is used to enhance the vehicle edge; lastly the maximum classification square error method is used to calculate the dual threshold, performing the vehicle edge detection. Experiments indicate that this method eliminates the interference from the auto lamps, well applicable for the vehicle edge detection in the night-time environment.