数字图像处理在电厂火焰检测中的应用 第2页
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
关键词
数字图像处理火焰检测火焰图像传感器图像压缩图像传输
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
Key words:
digital image processing,flame detecting,flame image sensor
image compression,image transfer4
目录
第一章绪论1
§1.1引言.......................................................................................1
§1.2火焰图像检测器....................................................................2
1.2.1目前状况..........................................................................2
1.2.2存在问题..........................................................................3
1.2.3相关研究..........................................................................4
§1.3图像数据压缩方法.................................................................5
1.3.1图像压缩..........................................................................5
1.3.2无损数据压缩..................................................................6
1.3.3有损数据压缩..................................................................6
1.3.4基于小波变换的数据压缩................................................7
§1.4本课题的主要工作.................................................................7
§1.5小结........................................................................................8
第二章火焰图像传感器设计9
§2.1火焰图像传感器结构.............................................................9
2.1.1传像光纤..........................................................................9
2.1.2 CCD摄像机...................................................................10
2.1.3冷却系统........................................................................11
§2.2冷却系统设计.......................................................................12
2.2.1传热学及流体力学基础.................................................12
2.2.2具体计算........................................................................15
§2.3小结......................................................................................21
第三章小波变换基础及在图像压缩中的应用22
§3.1小波变换的定义.................................................................22
3.1.1连续小波变换................................................................22
3.1.2离散小波变换...............................................................24
§3.2多分辨率分析.......................................................................25
3.2.1多分辨率分析思想.........................................................25
3.2.2多分辨率分析数学理论
37
...........................................25
§3.3信号的分解与重构...............................................................29
3.3.1一文数字信号的分解与重构
37
....................................29
3.3.2二文数字信号的分解与重构
37
....................................30
§3.4小结.....................................................................................34第四章小波变换的程序实现35
§4.1小波基的选取......................................................................35
§4.2图像的分解和重建..............................................................36
4.2.1 FDWT程序....................................................................37
4.2.2 TwoD_sd程序.....................................................................38
4.2.3 Ver_sd程序....................................................................39
4.2.4 Hor_sd程序...................................................................39
4.2.5 OneD_sd程序................................................................41
4.2.6 OneD_filtfi程序.............................................................43
4.2.7 TwoD_deinterleave程序.................................................44
§4.3小波分解系数的编码............................................................45
4.3.1小波分解系数的分布特点..............................................45
4.3.2量化和逆量化...............................................................48
4.3.3 LZW无损压缩编码方法................................................49
§4.4小结.....................................................................................51
第五章压缩图像传输52
§5.1 Modem通信编程技术基础49
.............................................52
5.1.1 MODEM简介................................................................52
5.1.2 Hayes标准.....................................................................53
5.1.3 S寄存器........................................................................56
5.1.4 MODEM返回信息码.....................................................57
§5.2电话线上的压缩图像传输...................................................57
§5.3小结.....................................................................................59
第辣章软件设计60
§6.1软件设计..............................................................................60
§6.2实验结果.............................................................................61
§6.4小结.....................................................................................63
第七章结论与展望64
§7.1概述.....................................................................................64
§7.2本文的主要工作和成果.......................................................64
§7.3进一步完善..........................................................................65
参考文献………………………………………………………………..66
致谢558
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