1、此文档是毕业设计外文翻译成品（ 含英文原文+中文翻译） ，无需调整复杂的格 式！下载之后直接可用，方便快捷！本文价格不贵,也就几十块钱！一辈子也就 一次的事！ 外文标题：Improved Traffic Signal Detection and Classification via Image Processing Algorithms 外文作者：Leonardo Bruno, Giuseppe Parla, Clara Celauro 文献出处: Procedia - Social and Behavioral Sciences 53 (2018) 811 821 (如觉得年份太老，可改为近
2、 2 年，毕竟很多毕业生都这样做) 英文 3815 单词，23514 字符(字符就是印刷符)，中文 5859 汉字。 （如果字数多 了，可自行删减，大多数学校都是要求选取外文的一部分内容进行翻译的。 ） Improved Traffic Signal Detection and Classification via Image Processing Algorithms Abstract: An image analysis technique for automatic traffic sign detection and classification is proposed. It mak
3、es it possible, after proper training, to detect, recognize and classify vertical road signs from video frames acquired on a moving vehicle equipped with cameras, as well as to identify anomalies with respect to road sign regulations (positioning and visibility). The experimental results show that t
4、his technique allows one to correctly detect and classify almost all vertical signs and, mainly in extra-urban environment, it can be considered as highly reliable, apart from being really versatile and user-friendly for road inventory and road maintenance purposes. Keywords: road signal; automatic detection; tracking and classification; maintenance. 1.Introduction Improving traffic quality and safety cannot be achieved without correctly applying and maintaining road traffic signs, traf
