基于ABDND算法的炉膛火焰图像脉冲噪声滤波研究

The Study on Impulsive Noise Filter of Furnace Flame Image Based on ABDND Algorithm

为使炉膛火焰电视采集的煤粉燃烧图像更加清晰、细节更加完整,需对燃烧图像进行脉冲噪声滤波。本文将一种现有的开关中值滤波算法(ABDND)利用matlab进行编译仿真,通过对两幅EI-XCL燃烧器的煤粉燃烧图像的灰度图像进行噪声添加并利用ABDND算法与中值滤波算法分别对噪声图像作滤波处理,经过对两种算法的滤波结果进行分析对比,实验结果表明,ABDND算法在炉膛火焰煤粉燃烧灰度图像的噪声滤波中应用良好。

In order to make the coal-burning images collected by the furnace flame TV become clearer and the details more complete, the impulse noise filtering of the combustion image needs to be performed. In this paper, an existing switch median filtering algorithm （ABDND） is compiled and simulated by MATLAB. By adding noise to the two grayscale images of pulverized coal combustion images of EI-XCL burners and using the ABDND algo-rithm and the median filter algorithm filter the noise images separately. After comparing and analyzing the results of the two algorithms, the experimental results show that the ABDND algorithm is applied well in the noise filtering of the gray image of the furnace flame pulverized coal combustion.