摘要
为了保证燃气锅炉安全稳定的燃烧,必须有效、可靠地对其进行火焰检测。传统锅炉火焰检测的难点在于很难精确地将火焰燃烧背景和目标火焰有效区分出来,为了克服这一缺陷,提出了一套完整的基于数字图像处理的燃气锅炉火焰检测算法:蚁群算法与小波变换结合,对运动的火焰进行识别,将火焰图像从背景中完整的分割出来。运用中值滤波的方法对图像中包含的大量噪声进行滤除,通过灰度变换对图像进行增强,从而有效准确地获取燃烧火焰信息。
In order to guarantee the combustion conditions, prevent the explosion accident and improve the fuel efficiency, the ＇flame detection should be conducted effectively and reliably. For the traditional flame detection, it is difficult to distinguish the background from the target flame very well. So, the algorithm of gas -fired boiler flame detection based on digital image processing is described in this paper. It combines the ant colony algorithm and wavelet transformation to distinguish the flame from the background, uses the median filter to filter the noise in the image and the grey level transformation to enhance the image, and obtains the flame parameter effectively and correctly.
出处
《微处理机》
2013年第6期66-69,共4页
Microprocessors
关键词
燃气锅炉
蚁群算法
小波变换
中值滤波
灰度变换
Gas - fired boiler
Ant colony algorithm
Wavelet transformation
Median filtering
Greylevel transformation
