摘要火焰领域是视频检测的重要领域，并引来越来越多的关注，传统的火焰检测方法利用感温，感焰设备，但是信号质量较差，抗干扰能力较差且精度低，检测范围小，容易造成误报警和漏报警情况，基于视频的火焰检测可以克服这个缺点。42759

本文对基于视频图像的火焰检测技术进行探究。首先介绍研究背景、现有的火焰检测技术，然后论文对帧间差分法和背景减除法提取火焰分别进行探究，并对比了各自的优劣。接着论文介绍火焰的特征，使用RGB模型和YCbCr模型来提取疑似的火焰区域，最后利用火焰的形态、频率和运动方向特征判断火焰区域。应用matlab分别编写了基于背景差分和帧间差分的火焰提取方法，其中背景差分法采用混合高斯模型建立背景图像。接着编写了图像提取、二值化、形态学处理、颜色模型和运动匹配以及闪烁频率检测的程序。完成了基于视频图像的火焰检测。

关键词  火焰检测；视频；Matlab；背景减除法；帧间差分法

毕业论文设计说明书外文摘要

Title  Fire detection technology research based on video images 

Abstract Fire field is an important field in video detection and attaches more and more attention from society. The traditional fire detection technology concentrate on temperature and smoke and uses equipment which is based on them .The quality of the signal is bad ,anti-jamming capacity is not strong and accuracy is low .What worse is that the detection range is small ,it is easy to lead to false dismissal and false alert .Fire detection technology research based on video images can solve this problem.

In order to do efficient detection in large space .The paper researches on  fire detection technology based on video images .First ,the paper introduces the background of the research and the fire detection technology in early age and current time .The paper researches on inter-frame difference method and background subtraction method respectively ,comparisons are made between them .Then ,the paper introduces the features of flame ,using RGB model and YCbCr model to extract suspected fire area .Last ,the paper uses the feature of fire shape ,flicker frequency and direction of motion to judge the suspected fire area .Based on Matlab ,the paper 

compile the procedure of inter-frame difference, background subtraction ,mixture-of-gaussians model ,image extraction ,binaryzation ,morphological processing,colour model,motion tracking and flicker frequency detection to finish the detection of flame.

Keyword:fire detection;video;Matlab; background subtraction; inter-frame difference;

目 录

1 绪论 1

1.1 选题背景 1

1.2 早期火焰检测技术 1

1.3  国内外研究概况 2

1.4  本文的主要研究内容及章节安排 2

2 火焰特征 4

2.1 火焰的组成 4

2.2火焰的特征 4

2.2.1 火焰的颜色特征 4

2.2.2  火焰的形态特征 5

2.2.3  火焰的闪烁频率特征 5

      3   图像预处理技术

3.1  Matlab简介 6

3.2 彩色模型 6

3.2.1  RGB彩色模型