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
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;
Conference_Titel :
Advanced Technologies for Signal and Image Processing (ATSIP), 2014 1st International Conference on
Conference_Location :
Sousse
DOI :
10.1109/ATSIP.2014.6834582
