文章基本信息

标题：Image Features As a Feed To Rough Sets for Fire/Smoke Detection
本地全文：下载
作者：Jean Paul Dukuzumuremyi ; Beiji Zou ; Damien Hanyurwimfura 等
期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2014
卷号：11
期号：4
出版社：IJCSI Press
摘要：Many researchers are being involved in fire detection using camera images as information data. However earlier researches have not paid attention to the determination of the type of fire (naked or smoldering). This paper proposes an improved fire detection method based on the image features that are taken as a feed to a rough set information system (RSIS) in order to not only determine the type of the fire but also to minimize the false alarm signals from the methods based on physical aspects of fire (temperature, smoke sensors, etc.) and other frequency based image features WMF(Wavelet-based model) and FDS(Fire detection based on discrete cosine coefficients) proposed earlier
关键词：Image processing; fire detection; computer vision; information system