Smoke is an important physical phenomenon in fire process, and smoke turbulence is one of the main factors to affect the image based fire detection.
烟气是火灾过程的重要物理现象。烟气的湍流效应是火灾图像探测的重要影响因素。
In this paper, we propose and design a fire detection system based on image processing, at last, we do some experiments on the system and give the result of the experiments.
本文在分析现有火灾探测技术的基础上，提出并设计了一种基于图像处理的火灾探测系统，并给出了实验结果。
Presents a visual fire detection system based on image processing combined with traditional fire detection equipment.
提出一种基于数字图像处理及传统的火警探测器相结合的火灾报警监测系统。
A new fire detection method, BP networks based image fire detection method, is presented in this paper.
提出了一种新型的火灾探测方法：基于BP神经网络的火灾图象探测方法。
A fire image detection system based on BP neural network is presented in this paper according to the characteristics of fire, such as flaming area becoming larger and larger, fire edge wobbling, etc.
根据火灾发生时着火面积逐渐增大、火焰边缘抖动等特征，提出了一种基于BP网络的火灾图像探测系统。
Vision-based fire smoke detection technology using image processing methods is an important branch, which captured considerable attention over the past decade, in fire safety field.
基于图像处理方法的火灾烟雾视频探测技术，是近年来火灾监控领域受到广泛关注的重要分支。
Vision-based fire smoke detection technology using image processing methods is an important branch, which captured considerable attention over the past decade, in fire safety field.
基于图像处理方法的火灾烟雾视频探测技术，是近年来火灾监控领域受到广泛关注的重要分支。
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