文档介绍：基于数字图像处理的烟气污染的自动监测
摘要
目前烟气污染日益严重,环境及人们的生活造成了很大的影响。随着人们
保护化境意识的逐渐增强,减少污染源,净化大气,保护人类生存环境的问题
正被亿万人们所关心和重视。解决烟气污染问题已成为当代科技研究的重要课
题之一。烟气污染的监测能有效及时的反映出污染的程度,为解决烟气污染问
题提供大量的现场依据,在寻求解决烟气污染问题方法的过程中发挥着十分重
要的作用。
随着计算机技术的发展,数字图像处理技术理论的不断完善,数字图像处
理技术也在不断的应用在烟气污染的监测上。本文是从烟气图像的的灰度值考
虑,通过对烟气图像灰度值的计算,判断烟气污染的程度。在处理过程中,由
于背景环境对烟气灰度值的影响非常大,若想成功准确的判断烟气污染的程
度,必须考虑背景环境的影响。从烟气图像的灰度值考虑,需先将图像转换为
灰度图像,再对灰度图像进行图像分割,分别计算背景及烟气的平均灰度值。
通过对不同背景下烟气图像的分割按背景的轻重将情况分为两种,分别判断出
烟气污染的程度。
本文的结构大致分为:首先介绍目前常用烟气污染自动监测的常用的方
法,然后介绍数字图像处理的特点、发展过程及其应用,以及数字图像系统。
再介绍图像分割经常用的方法,并对图像进行分割。最后考虑不同背景环境对
图像灰度值的影响,对不同背景下的图像分别处理。实践证明,运用这样的方
法对烟气污染进行自动监测是可实施的。
关键词: 数字图像处理;图像分割;直方图;烟气污染
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哈尔滨理工大学学士学位论文
Smoke Pollution Automatic Monitoring Based On
Digital Image Processing
Abstract
Smoke now is ing a more and more serious pollution, causing the
environment and people's lives a great impact. With people’s awareness of protecting
environment increasing, reducing pollution sources, purifying the atmosphere and the
protection of human environment issues are being concerned by hundreds of millions
of people. The solution of smoke pollution has e one of the contemporary
important science and technology issues covered. Smoke pollution monitoring can
effectively and timely reflect the extent of contamination, providing a lot of the scene
basis to resolve the problem of smoke pollution, playing an important role in the
process of seeking solutions to smoke pollution.
With the development puter technology and improvement of digital image
processing technology theory, digital image processing techniques are also constantly
in the application of the flue gas pollution monitoring. This article is to consider the
image of gray smoke value, through the gray smoke value of the image, judge the
extent of smoke pollution. In the process, because of the background environment
affects the value of gray smoke great, if we want to essfully judge the accurate
extent of smoke pollution, we must c