Space-Based Stellar Image Preprocessing Technology

Xuguang Zhang; Yunmeng Liu; Chan Tan; E Zhang

doi:10.3788/LOP231643

Laser & Optoelectronics Progress, Volume. 61, Issue 12, 1237007(2024)

Space-Based Stellar Image Preprocessing Technology

Xuguang Zhang^1,2,3, Yunmeng Liu¹, Chan Tan¹, and E Zhang^1,3、*

¹Key Laboratory of Infrared System Detection and Imaging Technology, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, China

²University of Chinese Academy of Sciences, Beijing 100049, China

³Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou 310024, Zhejiang, China

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Figures & Tables(11)

Fig. 1. Locally enlarged actural stellar images processed by different filtering algorithms. (a) Original image; (b) median filtered image; (c) improved median filtered image; (d) guided filtered image; (e) local threshold filtered image; (f) morphological processed image; (g) neighborhood maximum filtered image proposed in this paper

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Fig. 2. Actural stellar images with non-uniform noise interference processed by different background suppression algorithms. (a) Original image; (b) traditional morphological processing image; (c) improved morphological processing image; (d) mean filtered image; (e) one-dimensional iterative mean filtered image; (f) edge detection image based on Sobel operator; (g) improved algorithm processing image based on Sobel operator

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Fig. 3. Comparison of local results before and after algorithm improvement. (a) Partial original image; (b) local result of Sobel operator edge extraction; (c) local result of improved target extraction algorithm

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Fig. 4. Grayscale histogram of an actual shooting stellar image with 16-bit

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Fig. 5. Variation of segmentation threshold with number of iterations

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Fig. 6. Planar and three-dimensional images of a star energy distribution

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Table 1. Comparison of objective indicators of the target with SNR between 2.5 and 3 after processing by different filtering algorithms
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Table 1. Comparison of objective indicators of the target with SNR between 2.5 and 3 after processing by different filtering algorithms
Indicator OI MF IM GF LF MO NM
S 527 184 515 147 512 224 518
V 200 99 197 48 198 108 178
SNR 2.64 1.87 2.61 3.04 2.64 2.06 2.9
SCR 1 0.71 0.99 1.15 1.00 0.78 1.09
BSF 1 2.02 1.01 4.12 1.01 1.84 1.12

Table 2. Comparison of objective indicators of the target with SNR between 2 and 2.5 after processing by different filtering algorithms
View table
Table 2. Comparison of objective indicators of the target with SNR between 2 and 2.5 after processing by different filtering algorithms
Indicator OI MF IM GF LF MO NM
S 374 67 371 52 372 96 365
V 169 94 169 41 169 102 152
SNR 2.20 0.72 2.20 1.29 2.20 0.95 2.42
SCR 1 0.33 0.96 0.58 1.00 0.43 1.10
BSF 1 1.81 1.00 4.16 1.00 1.67 1.11

Table 3. Comparison of objective indicators of the target with SNR between 4 and 5 after processing by different background suppression algorithms
View table
Table 3. Comparison of objective indicators of the target with SNR between 4 and 5 after processing by different background suppression algorithms
Indicator OI TM IM MF ODM SO ISO
SNR 4.43 3.63 9.50 3.80 7.63 6.60 8.55
SCR 1 0.82 2.14 0.86 1.72 1.49 1.93
BSF 1 1.56 5.52 2.63 2.17 0.32 0.41

Table 4. Comparison of objective indicators of the target with SNR between 2 and 3 after processing by different background suppression algorithms
View table
Table 4. Comparison of objective indicators of the target with SNR between 2 and 3 after processing by different background suppression algorithms
Indicator OI TM IM MF ODM SO ISO
SNR 2.64 2.28 7.82 2.94 3.34 3.74 6.59
SCR 1 0.87 3.00 1.13 1.28 1.43 2.53
BSF 1 1.80 6.49 3.03 1.53 0.47 0.79

Table 5. Comparison of objective indicators of different centroid extraction algorithms

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Table 5. Comparison of objective indicators of different centroid extraction algorithms

Parameter	WC			SW			GF			GN			MN
SNR	$\infty$	10	3	$\infty$	10	3	$\infty$	10	3	$\infty$	10	3	$\infty$	10	3
E /pixel	0.038	0.040	0.043	0.005	0.010	0.030	0	0.017	0.054	0	0.017	0.053	0.043	0.045	0.058
V /pixel	0.020	0.021	0.025	0.003	0.006	0.016	0	0.009	0.032	0	0.011	0.034	0.023	0.025	0.033
T /s	0.12			0.12			0.7			0.08			3.2

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Xuguang Zhang, Yunmeng Liu, Chan Tan, E Zhang. Space-Based Stellar Image Preprocessing Technology[J]. Laser & Optoelectronics Progress, 2024, 61(12): 1237007

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Paper Information

Category: Digital Image Processing

Received: Jul. 3, 2023

Accepted: Sep. 18, 2023

Published Online: Jun. 5, 2024

The Author Email: E Zhang (zeshen@126.com)

DOI:10.3788/LOP231643

CSTR:32186.14.LOP231643

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Comparison of objective indicators of the target with SNR between 2.5 and 3 after processing by different filtering algorithms

Table 1. Comparison of objective indicators of the target with SNR between 2.5 and 3 after processing by different filtering algorithms

Table 2. Comparison of objective indicators of the target with SNR between 2 and 2.5 after processing by different filtering algorithms

Table 2. Comparison of objective indicators of the target with SNR between 2 and 2.5 after processing by different filtering algorithms

Table 3. Comparison of objective indicators of the target with SNR between 4 and 5 after processing by different background suppression algorithms

Table 3. Comparison of objective indicators of the target with SNR between 4 and 5 after processing by different background suppression algorithms

Table 4. Comparison of objective indicators of the target with SNR between 2 and 3 after processing by different background suppression algorithms

Table 4. Comparison of objective indicators of the target with SNR between 2 and 3 after processing by different background suppression algorithms

Table 5. Comparison of objective indicators of different centroid extraction algorithms

Table 5. Comparison of objective indicators of different centroid extraction algorithms