@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} }