Title :
Effect of color spaces on video segmentation performances
Author :
Wajdi Farhat;Hassene Faiedh;Chokri Souani;Kamel Besbes
Author_Institution :
Laboratory of Microelectronics and Instrumentation, Faculty of Sciences of Monastir, University of Sousse
Abstract :
Color segmentation is a preliminary step in many application computer vision systems today, as the detection of human movement, recognition of road traffic signs and video intelligent. Detection stage performance is therefore closely linked to the results obtained from the color segmentation. Detection and recognition automatic road traffic signs are applied in the color spaces RGB, HSV, and HSI. We present in this paper a comparative study on the color detection of road signs by thresholding according to the color spaces: RGB, HSV and HSI We proceed after that to verify the results of the detection rate and false detection rate obtained for each color space. The results have been validated on video under different lighting conditions.
Keywords :
"Image color analysis","Roads","Image segmentation","Lighting","Color","Real-time systems","Shape"
Conference_Titel :
Computer Networks and Information Security (WSCNIS), 2015 World Symposium on
Print_ISBN :
978-1-4799-9906-4
DOI :
10.1109/WSCNIS.2015.7368293
