激光与光电子学进展, 2020, 57 (24): 241103, 网络出版: 2020-12-01   

基于离散余弦变换的活性污泥显微图像融合 下载: 868次

Activated Sludge Microscopic Image Fusion Based on Discrete Cosine Transform
作者单位
沈阳化工大学信息工程学院, 辽宁 沈阳 110142
摘要
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。
Abstract
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.

赵立杰, 左越, 黄明忠. 基于离散余弦变换的活性污泥显微图像融合[J]. 激光与光电子学进展, 2020, 57(24): 241103. Lijie Zhao, Yue Zuo, Mingzhong Huang. Activated Sludge Microscopic Image Fusion Based on Discrete Cosine Transform[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241103.

本文已被 1 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!