Classification of Flame and Fire Images using Feed Forward Neural Network

被引：0
|
作者：
John, Olga [1 ]
Prince, Shajin [1 ]
机构：
[1] Karunya Univ, Dept Elect & Commun, Coimbatore, Tamil Nadu, India
来源：
2014 INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS) | 2014年
关键词：
Edge detection; feature extraction; edge image analysis; shape measurement; flame classification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Flame edge determination and classification is an active research area of wide application. Edge detection techniques for flame images can be used in applications such as flame image monitoring, early detection of fire, evaluation of fire, and the measurement of flame and fire parameters. This paper mainly gives importance on edge detection and classification of flames. The boundaries of flames are detected perfectly by using auto adaptive edge detection algorithm and classification of flame levels are done by using resilient back propagation algorithm in feed forward neural network.
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页数：6
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