摘要本课题是利用图像处理技术,实现对楼道节能等的全时段节能控制,与传统意义上开关控制,声光控制不同。现有的大部分节能设计通过的是声光半导体器件控制,但是人流量大,杂音多,室内光源等问题,很大程度上影响了上述器件的工作。随着计算机技术和网络技术的发展,数字图像处理技术已经日趋成熟。本设计的特点就是基于数字图像处理技术,以视频监控系统采集图像,来设计兼有自动报警,节能控制的楼道节能系统。80520
在硬件上本设计采用教学楼楼道中已经配置的摄像头输入,以图像采集卡作为系统的模数转换设备,由计算机控制处理,软件方面则是通过MATLAB来分析处理和后续的控制化进程。
在监控方面如果在午夜零时前有异常图像进入,就对异常图像先进行提取随后进行分割测量,利用滤波去除噪声,利用图像配准技术和动态背景运动检测法去除背景噪声,光线等等微弱因素的影响,从而判定异常图像距离输入设备的远近,依照距离依此打开光源,当异常图像消失后,关闭光源。如果午夜零时后有异常图像被检测,则直接报警。
毕业论文关键词:图像处理 图像报警 MATLAB 节能
毕业设计说明书(论文)外文摘要
Title Energy-saving lighting system with alarm Abstract
This project uses image processing technology to realize the all-time energy-saving of the lighting system。 compare to the traditional system which uses the photosensitive resistance or other semiconductor device,this project can avoid the influence of more kinds of noise。 With the development of computer technology and network technology, digital image processing technology has become increasingly mature。 The characteristics of the design is based on digital image processing technology, video surveillance system image to design both automatic alarm, energy saving control of corridor energy-saving system。
The project uses the camera of the teaching building to be its hardware, with the image grabber system as a / D conversion equipment, controlled by computer processing, software is by MATLAB to analyze the treatment and follow-up of the control process。
In the monitoring image, if before the midnight into abnormal image, the abnormal image first extraction followed by segmentation measurement, using the filter to remove the noise, using image registration techniques and the dynamic background motion detection method to remove background noise, light and so on weak factors influence to determine the distance of the abnormal distance image input device, according to distance and open source, when after the disappearance of the abnormal image, switch off the light source。 If after midnight abnormal image is detected, directly alarm
Keywords: image processing image alarm MATLAB energy-saving
目录
1 绪论 2
1。1 课题的提出、针对所应用的图像报警系统的发展 2
1。2 本课题相对于传统节能照明系统的优越性 3
1。3 本系统在图像处理方面的设计创新 4
2 图像处理的相关理论 6
2。1 图像与数字图像 6
2。2 灰度直方图 6
2。3 图像代数运算 8
2。4 异物图像的提取 10
2。5 直方图均衡化