@Article{JICS-10-173,
author = {Shangbing Gao, Liangliang Wang, Hongyang Wang and Jun Zhou},
title = {The Vehicle Logo Location System based on saliency model},
journal = {Journal of Information and Computing Science},
year = {2024},
volume = {10},
number = {3},
pages = {173--177},
abstract = {The intelligent location and recognition of vehicle Logo and vehicle license plate is an important 
component of intelligent transportation system. In this paper, we mainly study the location of vehicle logo. In 
the location of the logo, according to the content, it can be divided into coarse location and precise location, 
coarse  positioning is  mainly  according the position of license  plate to locate the  region of lamp belt which  
includes  the  vehicle  logo,  which  involves  the  location  of  license  plate.  In  order  to  locate  the  position  of 
vehicle logo accurately, the improved saliency detection method based on the features of the vehicle logo is 
used. Experimental results show that the model can fast and effectively segment the intensity inhomogeneous 
images. 
},
issn = {1746-7659},
doi = {https://doi.org/},
url = {http://global-sci.org/intro/article_detail/jics/22542.html}
}