File(s) under permanent embargo
An efficient hybrid algorithm for fire flame detection
conference contribution
posted on 2015-09-28, 00:00 authored by Seyedamin Khatami, S Mirghasemi, Abbas KhosraviAbbas Khosravi, Saeid NahavandiProposing efficient methods for fire protection is becoming more and more important, because a small flame of fire may cause huge problems in social safety. In this paper, an effective fire flame detection method is investigated. This fire detection method includes four main stages: in the first step, a linear transformation is applied to convert red, green, and blue (RGB) color space through a 3*3 matrix to a new color space. In the next step, fuzzy c-mean clustering method (FCM) is used to distinguish between fire flame and non-fire flame pixels. Particle Swarm Optimization algorithm (PSO) is also utilized in the last step to decrease the error value measured by FCM after conversion. Finally, we apply Otsu threshold method to the new converted images to make a binary picture. Empirical results show the strength, accuracy and fast-response of the proposed algorithm in detecting fire flames in color images.
History
Event
International Joint Conference on Neural Networks (2015: Killarney, Ireland)Pagination
1 - 6Publisher
IEEELocation
Killarney, IrelandPlace of publication
Piscataway, N.J.Publisher DOI
Start date
2015-07-12End date
2015-07-17ISSN
2161-4393ISBN-13
9781479919604Language
engPublication classification
E Conference publication; E1 Full written paper - refereedCopyright notice
2015, IEEETitle of proceedings
IJCNN 2015: Proceedings of the 2015 International Joint Conference on Neural NetworksUsage metrics
Categories
No categories selectedKeywords
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC