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.
vehicle edge detection spatial homomorphism filtering fuzzy enhancement Canny operator maximum classification square error method
Wei-zhi Wang Bing-han Liu
College of Civil Engineering Fuzhou University Fuzhou, China College of Mathematics and Computer Science Fuzhou University Fuzhou, China
国际会议
厦门
英文
714-718
2010-10-29（万方平台首次上网日期，不代表论文的发表时间）