Flame detection using HSI color space
Küçük Resim Yok
Tarih
2017
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Image processing based systems take important place in systems used to detect fires in open spaces. Vision-based systems can detect fires in open spaces from distances and detect the fire at an early stage. In this study, a fire/flame detection method based on the color analysis of the fire image is presented. The proposed method consists of three steps. First, the image in RGB space is converted to the HSI color space. Then a color filter is applied to determine the fire/flame candidate zone. In the second stage, fake fire zones within the candidate zone identified as fire are eliminated. In this phase, image difference and gauss mixture model is used to recover the fake fire areas. In the third step, the result of the two methods is subjected to AND processing. The AND operation ensures to detect the exact flame zone. As a result, the proposed algorithm has been tested using fire video images. The highest calculated accuracy is 96%. © 2017 IEEE.
Açıklama
2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017 -- 16 September 2017 through 17 September 2017 -- 115012
Anahtar Kelimeler
Color space area, Fire detection, Flame, Gauss mixture model
Kaynak
IDAP 2017 - International Artificial Intelligence and Data Processing Symposium
WoS Q Değeri
Scopus Q Değeri
N/A
