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

Author

Wang, Wei-Zhi ; Liu, Bing-Han

Author_Institution

Coll. of Civil Eng., Fuzhou Univ., Fuzhou, China

Volume

1

fYear

2010

fDate

29-31 Oct. 2010

Firstpage

714

Lastpage

718

Abstract

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.

Keywords

edge detection; fuzzy set theory; image enhancement; mean square error methods; pattern classification; traffic engineering computing; Canny operator; auto lamps; fuzzy enhancement; homomorphism filtering; maximum classification square error method; night time environments; vehicle edge detection; Ear; Filtering; Robustness; Canny operator; fuzzy enhancement; maximum classification square error method; spatial homomorphism filtering; vehicle edge detection;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on

Conference_Location

Xiamen

Print_ISBN

978-1-4244-6582-8

Type

conf

DOI

10.1109/ICICISYS.2010.5658502

Filename

5658502