基于森林火灾平台的红外图像识别技术研究  

Research on Infrared Image Recognition Technology Based on Forest Fire Platform

作　　者：刘明媛[1] 

机构地区：[1]电子科技大学光电信息学院,成都610054

出　　处：《自动化信息》2012年第10期29-31,23,共4页Automation Information

摘　　要：森林火灾探测一直是森林资源保护工作中的老大难问题。早期的火灾探测技术多是基于火灾的烟雾和温度特征的，但其判别标准过于单一，误报率较高。随着计算机技术的发展和红外探测器的发明，出现了基于红外图像处理的森林火灾防护技术，该技术主要对红外探测器获得的森林现场的红外图像进行一定的处理后识别图像中是否有火灾出现。本文的主要工作是进行红外图像增强算法的研究，通过对各种算法的描述和仿真实验结果分析，提出一种相对较适合森林背景红外图像的处理算法一将基于频域处理的提升小波变换与直方图修正结合起来的红外图像增强算法。Forest fire detection has always been a long-standing problem in conservation of torest resources, most early fire detection technologies are based on smog and temperature features of the fire, but their discriminating standard too to be. unitary with higher false alarm rate. With the development of computer technology and the invention of infrared detector, a infrared image process- ing based forest fire protection technology has appeared, the main function of the technology is to process the infrared images on the forest site, which are detected by the infrared detectors, and then the images will be identified, in which whether any fire appears. The main work of this paper is that the study on infrared image enhancement algorithm is implemented and an infrared image processing algorithm which is relatively suitable for forest background, that is the infrared image enhancement algorithm of combining the frequency domain processing based lifting wavelet transform with the histogram correction, is proposed by means of the various algo rithms descriptions and the analysis of simulation experimental results.

关 键 词：森林火灾 红外图像处理 图像增强 提升小波交换 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]