DocumentCode
156322
Title
A new ground segmentation method for obstacle detection using possibility theory
Author
Elleuch, Jihen Frikha ; Kallel, Imene Khanfir ; Masmoudi, Dorra Sellami
Author_Institution
Comput. Imaging Electron. Syst. (CEM Lab.), Univ. of Sfax, Sfax, Tunisia
fYear
2014
fDate
17-19 March 2014
Firstpage
83
Lastpage
88
Abstract
This paper presents a new method of ground segmentation for obstacle detection using possibility theory. Data provided by reference area is extracted and modeled separately using possibility theory. The obtained possibility maps are combined with an operator which can manage the uncertainty and ambiguity in the images. The final segmented image is constructed in decision step.
Keywords
image segmentation; object detection; data reference area extraction; ground segmentation method; image segmentation; obstacle detection; possibility map theory; Cameras; Feature extraction; Histograms; Image color analysis; Image segmentation; Possibility theory; Probability distribution; Probability/Possibility; ground segmentation; possibility theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
Conference_Location
Sousse
Type
conf
DOI
10.1109/ATSIP.2014.6834582
Filename
6834582
Link To Document