【作者】 许冰；

【导师】 刘禾；

【作者基本信息】 华北电力大学（北京） ， 控制理论与控制工程， 2003， 硕士

【摘要】 数字图像处理是一门具有巨大发展前景的学科。近年来，数字图像处理技术开始应用于锅炉炉膛火焰检测，为电厂锅炉火焰检测开辟了一个新的领域。将计算机技术和数字图像处理技术结合起来应用于火焰检测是一种新的火焰检测方法。火焰图像传感器是火焰检测系统中的重要组成部分，本文针对以往火焰图像传感器的不足之处，设计了采用传像光纤和CCD摄像机的火焰图像传感器，并对传感器冷却系统部分进行了理论计算，为保障火焰图像传感器正常安全运行提供了参考数据。图像压缩是数字图像处理领域中的关键技术，本文利用小波变换理论，结合LZW无损压缩编码等方法，对传感器采集的图像进行实时压缩，压缩后的图像利用MODEM通信技术，在普通电话线上实现图像远传，这样节约了图像的存储空间和传输时间，为火焰远程监控奠定了基础。更多还原

【Abstract】 Digital image processing is the subject with bright prospects. In recent years, digital image processing is being applied in the field of boiler furnace flame detecting gradually and pioneers a new realm of boiler flame detecting in power plant. Flame image sensor is an important part of flame detecting system. In this paper, a sensor with advanced image optical fiber and CCD camera is designed. Emphasis is put on designing and calculating the cooling system of the image sensor to run safely. At present image compression is one of the key techniques in digital image processing field. Considering many important characteristics of flame images, the software based on wavelet transformation is devised and developed. In this software, after a flame image has been decomposed by wavelet transform, low frequency sub-image and high frequency sub-image can be quantified and encoded with the LZW method. The compressed image can be delivered to other computer though the telephone lines by Modem. The software can save space for storge and time for transferring.Xu Bing (specialty: control theroy and control project) Directed by Liu He更多还原