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

fYear

2010

fDate

2-4 April 2010

Firstpage

258

Lastpage

262

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IITSI.2010.11

Filename

5453575