Title :
Vehicle Edge Detection Based on Multi-structure Mathematical Morphology
Author :
Cao, Yanyan ; Yue, Hengjun ; Wu, Jian ; Chen, Jianming ; Cui, Zhiming
Author_Institution :
Inst. of Intell. Inf. Process. & Applic., Soochow Univ., Suzhou, China
Abstract :
Edge detection is an important work for object recognition and is also an essential pre-procession step in image segmentation and visual analysis. Conventionally, the method to detect vehicle edge can not solve the problems such as noise, ghost, a novel edge detection method based on multi-structure elements is proposed. In this method the target vehicle edge can be segregated completely. The experimental results showed that the proposed algorithm was more efficient for edge detection than conventional mathematic morphological edge detection algorithms.
Keywords :
edge detection; image segmentation; mathematical morphology; object recognition; image segmentation; multistructure elements; multistructure mathematical morphology; object recognition; vehicle edge detection; visual analysis; Application software; Data mining; Image edge detection; Image processing; Information processing; Information technology; Intelligent vehicles; Morphology; Shape; Vehicle detection; edge detectio; mathematical morphology; multi-structure; structure element;
Conference_Titel :
Intelligent Information Technology and Security Informatics (IITSI), 2010 Third International Symposium on
Conference_Location :
Jinggangshan
Print_ISBN :
978-1-4244-6730-3
Electronic_ISBN :
978-1-4244-6743-3
DOI :
10.1109/IITSI.2010.11
