Title :
Flame Image Pre-processing Research for Coal-fired Utility Boiler
Author :
Cai Yejing ; Huang Xiaofeng ; Long Xiaowei
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ. of Technol., Zhuzhou, China
Abstract :
Aiming at the problems of coal-fired utility boiler, such as flame fluttering, isolated noise, and lacking adequate contrast in flame image. To extract characteristics of flame image for combustion mode identify, the mean of multi-image, median filter, subsection gray linear transformation, binariazation, isolated spots elimination and filling in blanks were operated. The result shows that the flame segmentation from background is effective.
Keywords :
boilers; coal; combustion; flames; image segmentation; production engineering computing; binariazation; coal-fired utility boiler; combustion mode identify; flame fluttering; flame image preprocessing; flame segmentation; isolated noise; isolated spots elimination; median filter; subsection gray linear transformation; Boilers; Coal; Combustion; Filtering; Fires; Image segmentation; Noise; Coal-fired Utility Boiler; Flame Detection; Image Processing;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.183
