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Journals >
Laser & Optoelectronics Progress >
Volume 59 >
Issue 12 >
Page 1210003 > Article
Laser & Optoelectronics Progress
Vol. 59, Issue 12, 1210003 (2022)
Image Feature Extraction in Nuclear Radiation Environment
Wenkai Zhang
1、2
, Feng Xu
1、2、*
, and Jin Li
1、2
Author Affiliations
1
School of Information Engineering, Southwest University of Science and Technology, Mianyang 621010, Sichuan , China
2
Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621010, Sichuan , China
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DOI:
10.3788/LOP202259.1210003
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Wenkai Zhang, Feng Xu, Jin Li. Image Feature Extraction in Nuclear Radiation Environment[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210003
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Fig. 1.
Image in nuclear environment
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Fig. 2.
Distribution of noise block
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Fig. 3.
FAST features in image patch block
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Fig. 4.
Noise location detection in real-world environment. (a) Threshold is 0.4; (b) threshold is 0.5; (c) threshold is 0.6;(d) threshold is 0.7
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Fig. 5.
Screening results of features in real-world environment. (a) Image before screening; (b) set 50 features; (c) set 100 features; (d) set 150 features
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Fig. 6.
Extraction results in real-world environment. (a) Image 1; (b) image 2; (c) image 3
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Fig. 7.
Results of ANF algorithm compared with FAST algorithm
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Number of features
BRISK
KAZE
ANF
50
5.128
6.966
5.077
100
5.828
7.073
5.454
150
6.338
7.627
6.111
Table 1.
Comparison of relative time of feature extraction
I
s
/%
ANF
FAST
BRISK
0.01
0.9911
0.9854
0.9823
0.03
0.9754
0.9377
0.9429
0.05
0.9279
0.8893
0.8988
0.07
0.9265
0.8622
0.8611
0.09
0.8992
0.8371
0.8258
Table 2.
Rejection rate of feature extraction
I
s
/%
ANF
FAST
BRISK
0.01
11
23
25
0.03
24
113
128
0.05
54
166
186
0.07
70
214
232
0.09
125
326
333
Table 3.
Number of noise points contained in features
Abstract
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References (21)
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Wenkai Zhang, Feng Xu, Jin Li. Image Feature Extraction in Nuclear Radiation Environment[J]. Laser & Optoelectronics Progress, 2022, 59(12): 1210003
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Paper Information
Category: Image Processing
Received: Apr. 21, 2021
Accepted: Jun. 2, 2021
Published Online: Jun. 25, 2022
The Author Email: Xu Feng (xufeng@swust.edu.cn)
DOI:
10.3788/LOP202259.1210003
Recommended Topics
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