Researches on Image Processing Based on Neural Network Technique for Furnace Frame

Author

Zhen, Chenggang ; Liao, Wei

Author_Institution

Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding

Volume

4

fYear

2008

fDate

12-14 Dec. 2008

Firstpage

851

Lastpage

854

Abstract

Process burning coal powder in boiler is in very complex suspension combustion and very unstable, monitoring system image includes a lot of noise signals from difference hands. In this chapter, compose of furnace flame monitoring system is introduced, 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, processing for flame image is completed.

Keywords

coal; flames; furnaces; image denoising; median filters; neural nets; object detection; complex suspension combustion; fast median filter; furnace flame; furnace flame monitoring system; image noise elimination; image processing; neural network technique; noise signals; process burning coal powder; special boundary detection algorithm; Boilers; Combustion; Filters; Fires; Furnaces; Image processing; Monitoring; Neural networks; Powders; Signal processing; Image segmentation; Neural Network; furnace flame;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Science and Software Engineering, 2008 International Conference on

Conference_Location

Wuhan, Hubei

Print_ISBN

978-0-7695-3336-0

Type

conf

DOI

10.1109/CSSE.2008.906

Filename

4722752