摘要
为消除火焰图像中的脉冲噪声,本文采用基于极值的中值滤波算法对信号和噪声先进行判别,再进行滤波处理;并采用归一化均方误差和信噪比作为该算法的客观评价尺度.结果表明,该算法在有效的消除脉冲噪声的同时,能很好保留火焰图像的边缘信息,较其他滤波算法有更好的滤波性能.
In order to remove the impulse noise from the flame image of furnace,the article adopted the extreme median filter algorithm.The algorithm separated the pixels in the image into signal pixels and noise pixels firstly,and then went on filtering processing.The Normalized Mean Square Error（NMSE） and signal noise ratio（SNR） were adopted to judge the algorithm objectively.Simulation results showed that the proposed algorithm can suppress noise very effectively,preserve fine details very well and has better filters
出处
《周口师范学院学报》
CAS
2009年第5期50-52,共3页
Journal of Zhoukou Normal University
关键词
火焰图像
中值滤波
脉冲噪声
flame image
median filtering
impulse noise
