文章基本信息

标题：A Comparative Analysis on Different Image Processing Techniques for Forest Fire Detection
本地全文：下载
作者：Sam G. Benjamin ; Radhakrishnan B
期刊名称：International Journal of Computer Science and Network
印刷版ISSN：2277-5420
出版年度：2016
卷号：5
期号：1
页码：110-114
出版社：IJCSN publisher
摘要：Image processing techniques are widely usednow a day to detect fire from still images and videos. Thebasic technique to label a pixel as fire pixel is by analyzingits color information. One of the main setbacks of colormodels is that they can wrongly detect fire-colored ordinaryobjects as fire regions. It is very important to distinguishbetween fire and fire-colored ordinary objects, becausegenerating a lot of false alarms reduces the efficiency of thefire detection system to a great extent. Variouscharacteristics of the fire flame other than its color clues areutilized to make the fire pixel classification more precise.The fire flame has a distinctive texture characteristic thanother ordinary objects, so combining the texture analysisalong with the color information reduces the false alarmsconsiderably. Another unique characteristic of the fire flameis its flickering motion. Proper classification of smoke pixelsalso helps to detect the fire at its initial stage. This paper isa study of different techniques that can drastically reducethe false positive rate
关键词：Rule Based Color Model; Classification of Fire;Pixels; Texture Analysis; Flicker Motion Analysis; Fuzzy;Inference System.