Title
The Flame Detection and Background Interference Filtering Algorithm Based on Video Images
Abstract
This paper gives a new flame detection processing algorithm based on video images by using the threshold and binarization processing to capture the suspicious regions from flame images precisely, and proposes an improved frame-difference method to filter the interference of rapidly moving objects with high brightness. The flame is then detected through using the suspicious region area and circular degree to filter the background interference with fixed high brightness. Based on experiments, it is indicated that this proposed algorithm can filter the background interference effectively and detect the flame accurately.
Year
DOI
Venue
2009
10.1109/CSIE.2009.138
CSIE
Keywords
Field
DocType
Background interference,Flame detection,Video image processing
Computer vision,Computer science,Algorithm,Filter (signal processing),Feature extraction,Image segmentation,Flame detection,Artificial intelligence,Interference (wave propagation),Filtering theory,Brightness
Conference
Volume
Issue
ISBN
6
null
978-0-7695-3507-4
Citations 
PageRank 
References 
1
0.44
3
Authors
2
Name
Order
Citations
PageRank
Lin Shi124.21
Zhe Cao211.12