基于离散余弦变换的活性污泥显微图像融合

Activated Sludge Microscopic Image Fusion Based on Discrete Cosine Transform

为了构建清晰且大景深的活性污泥微生物显微图像,提出一种基于离散余弦变换(DCT)的多平面活性污泥显微图像融合算法。首先对相同位置、不同焦平面的显微图像进行边缘锐化预处理,分别计算分块图像的变换系数。然后选择系数方差大的子块作为融合图像的子块,采用DCT逆变换对子块进行图像融合。最后应用双边滤波器一致性验证对融合图像进行进一步修正。通过对某污水处理厂采集的活性污泥显微图像进行图像融合实验研究。实验结果表明,所提算法在图像融合清晰度和计算复杂度方面具有相对优势。

This study proposes a multiplane activated sludge microscopic image fusion algorithm based on discrete cosine transform(DCT)to construct a clear and large-depth-of-field microscopic view of activated sludge microorganisms.First,the edge sharpening is pretreated for the microimages with the same position and different focal planes,and the transformation coefficients of the segmented images are calculated respectively.Second,the sub-block with a large coefficient variance is selected as the sub-block of the fused image,and inverse DCT is employed to perform image fusion.Finally,the two-sided filter consistency check is used to further modify the fused image.The microimages of activated sludge collected from a sewage treatment plant are studied by image fusion experiment.Experimental results reveal that the proposed algorithm has advantages in terms of image fusion clarity and computational complexity.