【摘要】 由于烧结机尾环境恶劣 ,采集的烧结机尾图像干扰较多 ,采用传统的去噪方法难以达到满意的效果。本文首先分析了烧结断面图像的特点及其信号与噪声在小波变换下的不同特点 ,然后介绍了二维多分辨率分析的去噪方法 ,并将它应用于烧结断面图像去噪处理。实验结果表明 ,本文使用的方法能有效去除烧结断面图像中的噪声 ,图像的细节也有效地得以保留更多还原

【Abstract】 Owing to the wicked environment and the heavy dust on the discharge end , the sinter-cake section image is seriously noised. The traditional denoising methods are difficult to achieve satisfied result. So in this paper, we at first analyze the different characteristics of noise and signal under wavelet transform, then introduce the denoising approach that is based on the two-dimensional multiresolution wavelet analysis. At last, the proposed approach is applied to sinter-cake section image. The experimental result shows that this approach can effectively remove noise and preserve the edge details of the sinter-cake section image.更多还原