中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing

文献类型:期刊论文

作者C. Jiang; T. Chen; C. Z. Lu; Z. Y. Wu; C. H. Liu; M. Shao and J. T. Cao
刊名Photonics
出版日期2023
卷号10期号:4页码:12
DOI10.3390/photonics10040433
英文摘要High-resolution imaging with wide field of view (FoV) ground-based telescopes is often affected by skylight background and noise due to the detector, resulting in an inhomogeneous background. In this paper, we propose an improved method for spatial image non-uniformity correction based on partition processing. First, an evaluation metric is introduced to evaluate the partition size and automatically iterate a suitable partition value for different scenarios based on the different operating conditions of the telescope. Then, we iteratively calculate the mean and variance in each partitioned region to extract the background of each partitioned region. Finally, after applying bilinear interpolation to the background extracted from each region, the inhomogeneous background is obtained and removed from the original image. The experiments on the simulated and real images show that the proposed method can effectively remove the inhomogeneous background of spatial images and meet the requirements of the real-time processing of high-resolution images under long exposure conditions.
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语种英语
源URL[http://ir.ciomp.ac.cn/handle/181722/67552]  
专题中国科学院长春光学精密机械与物理研究所
推荐引用方式
GB/T 7714
C. Jiang,T. Chen,C. Z. Lu,et al. Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing[J]. Photonics,2023,10(4):12.
APA C. Jiang,T. Chen,C. Z. Lu,Z. Y. Wu,C. H. Liu,&M. Shao and J. T. Cao.(2023).Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing.Photonics,10(4),12.
MLA C. Jiang,et al."Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing".Photonics 10.4(2023):12.

入库方式: OAI收割

来源:长春光学精密机械与物理研究所

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