基于Canvas的货车图像浏览及增强系统设计与实现  

Design and implementation of browsing and enhancement system for moving freight car images based on Canvas

作　　者：高斯文 卿粼波[1] 熊淑华[1] 张余强 Gao Siwen;Qing Linbo;Xiong Shuhua;Zhang Yuqiang(College of Electronics and Information Engineering,Sichuan University,Chengdu 610064,China;Chengdu Xitu Technology Co.Ltd.,Chengdu 610065,China)

机构地区：[1]四川大学电子信息学院,四川成都610064 [2]成都西图科技有限公司,四川成都610065

出　　处：《信息技术与网络安全》2018年第11期104-108,共5页Information Technology and Network Security

基　　金：成都市产业集群协同创新项目(2016-XT00-00015-GX)

摘　　要：货运列车运行故障动态检测系统TFDS在铁路行业得到广泛应用,在方便列检员及时地对故障零件进行排查的同时,节省了传统人工检测成本,降低了误检率。传统的货车图像在线浏览系统采用C/S架构依赖于Active X控件设计,需要安装插件,不方便使用,而且如果图片清晰度较低,难以对故障作出准确判断。针对上述问题,设计了一种B/S架构下基于HTML5 Canvas技术的货车图像在线浏览及增强系统,充分发挥B/S系统无插件、性能稳定等优势的同时,采用Canvas技术实现图像的在线增强,使列检员能更方便地浏览图像,并能更准确地对故障进行判断,为铁路高效运行提供了保证。TFDS （Trouble of moving Freight car Detection System） has widely used in the railway industry,it is convenient for the inspectors to timely check the faulty parts,which saves the cost of the traditional manual inspection and reduces the false detection rate.The traditional moving freight car image online browsing system adopts C/S architecture and relies on the design of ActiveX controls.It needs to install plugins and is not convenient to use,and if the picture has low definition,it is difficult to make an accurate judgment.Aiming at the above problems,this paper designs an online browsing and enhancement system for moving freight car images based on HTML5 Canvas technology under B/S architecture,making full use of the advantages of B/S system without plugin and stability.It is more convenient for the inspectors to browse the images and judge the faults more accurately,which provides a guarantee for the efficient operation of the railway.

关 键 词：在线浏览 TFDS HTML5 CANVAS CLAHE算法 

分 类 号：TP399[自动化与计算机技术—计算机应用技术]