DocumentCode
3032383
Title
The application of mathematical morphology in Vehicle identification technology
Author
Lixia, Wang ; Dalin, Jiang
Author_Institution
Coll. of Electron. Inf. Eng., Beijing Univ. of Technol., Beijing, China
fYear
2011
fDate
26-28 July 2011
Firstpage
801
Lastpage
805
Abstract
Traffic information collection technology is the basis to constructing the ITS common information platform, in which the most critical and complex part is the automatic detection technology to vehicles. In this paper, we focus on the mathematics morphology technology´s application in vehicles images processing. Through reading a large number of documents, we can conclude that the image´s geometric features usually can´t be affected by external environment and learn that mathematical morphology in processing vehicles images under complex environment has obvious advantages. Through studying Vehicle identification based on morphology, the main contents are as follow: Noise filtering, adhesion target segmentation, image reconstruction, image matching, and other key technologies. In this paper, the image morphology in vehicle detection of specific applications was reviewed.
Keywords
automated highways; image matching; image reconstruction; mathematical morphology; object detection; traffic information systems; ITS; adhesion target segmentation; automatic detection technology; image geometric features; image matching; image morphology; image reconstruction; mathematical morphology; noise filtering; traffic information collection technology; vehicle detection; vehicle identification technology; vehicle image processing; Gray-scale; Image reconstruction; Image segmentation; Morphology; Noise; Shape; Vehicles; Vehicle Detection; image reconstruction; image segmentation; mathematical morphology; morphological filtering; object matching;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-61284-771-9
Type
conf
DOI
10.1109/ICMT.2011.6002192
Filename
6002192
Link To Document