Research on Water Level Measurement Based on Image Recognition for Industrial Boiler

摘要：

　　Bicolor water level gauge is the important equipment for industrial boiler.Machine recognition of water level image makes the traditional video monitoring system more intelligent.In this paper,the recognition algorithms such as improved BP neural network and feature matching are studied and compared.Experiments show that the recognition rate of latter approach is up to 100%with high identifying speed.Furthermore,a digital video level measurement system is designed based on CCD and FPGA.

关键词： Video-Based Water Level Gauge Digital Recognition Neural Network Feature Matching

作者: Sun Bin Changsheng Zhang Lun Li Jianping Wang

作者单位: Faculty of Information Engineering and Automation,Kunming University of Science and Technology,Kunming,650050,China

会议类型: 国际会议

会议名称: 第26届中国控制与决策会议(2014 CCDC)

会议地点: 长沙

会议语种:英文

页码: 1344-1348

在线出版日期: 2014-05-31（万方平台首次上网日期，不代表论文的发表时间）