Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing

doi:10.3390/photonics10040433

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	Automatic Inhomogeneous Background Correction for Spatial Target Detection Image Based on Partition Processing
	C. Jiang; T. Chen; C. Z. Lu; Z. Y. Wu; C. H. Liu; M. Shao and J. T. Cao
	2023
发表期刊	Photonics
卷号	10 期号:4 页码:12
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.
DOI	10.3390/photonics10040433
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收录类别	sci
语种	英语
引用统计
文献类型	期刊论文
条目标识符	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.

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