Title :
Flame Edge Detection Based on C-V Active Contour Model
Author :
Xingxing, She ; Fuzhen, Huang
Author_Institution :
Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
In this paper a new method based on C-V active contour model is proposed for edge detection of boiler furnace flame image in power plant. Edge extraction of different flame images using C-V model and the classical edge detection operators are compared and analyzed. Experimental results show that the edges extracted by our method are continuous and highlight the interested image features which can be beneficial to the observation of combustion situation and make a good basis for subsequent flame image monitoring in power plant.
Keywords :
boilers; computerised monitoring; edge detection; power engineering computing; power plants; C-V active contour model; boiler furnace flame image; edge extraction; flame edge detection; flame image monitoring; power plant; Active contours; Boilers; Capacitance-voltage characteristics; Combustion; Fires; Furnaces; Image analysis; Image edge detection; Monitoring; Power generation; Flame detection; active contour model; edge detection;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.321
