基于数字图像处理的燃气锅炉火焰检测算法 |
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引用本文: | 王延年,王海娟. 基于数字图像处理的燃气锅炉火焰检测算法[J]. 微处理机, 2013, 0(6): 66-69 |
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作者姓名: | 王延年 王海娟 |
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作者单位: | 西安工程大学电子信息学院,西安710048 |
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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。
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关 键 词: | 燃气锅炉 蚁群算法 小波变换 中值滤波 灰度变换 |
The Algorithm of Gas- fired Boiler Flame Detection Based on Digital Image Processing |
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Affiliation: | WANG Yan - nian ,WANG Hai - juan ( College of electronic information ,Xim Polytechnic University,Xim 710048, China) |
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Abstract: | 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. |
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Keywords: | Gas - fired boiler Ant colony algorithm Wavelet transformation Median filtering Greylevel transformation |
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