A Study on Furnace Hearth Image Processing on the Basis of RBF Neural Network Technique

摘要：

Processing burning coal powder in boiler is a complex suspension combustion and very unstable, and monitoring system image includes a lot of noise signals from different hands. In this paper, compose of furnace flame monitoring system is introduced, and the new method called as fast median filter for elimination image noise and special boundary detection algorithm based on neural network technique for furnace flame are discussed in detail, and processing for flame image is completed.

关键词： CCD video camera Monitoring system RBF Neural Network Furnace hearth flame

作者: Gong Ruikun Yang Youliang Zhang Ruicheng Qu Bin Tian Qing

作者单位: College of Computer and Automatic Control, Hebei Polytechnic University, China No.46, Xinhua West Road, Lunan District, Tangshan, 063009 China

会议类型: 国际会议

会议名称: The 8th International Coference on Measurement and Control of GranularMaterials(第八届国际粉体检测与控制学术会议)(MCGM 2009)

会议地点: 沈阳

会议语种:英文

页码: 487-490

在线出版日期: 2009-08-27（万方平台首次上网日期，不代表论文的发表时间）