Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
Source abstract
Abstract
As a non-destructive testing technique, neutron radiography has received increasing attention in scientific research. However, the inherent limitations of neutron images, such as insufficient resolution and contrast, have been attributed to the low conversion efficiency of the neutron conversion screen and the low-light quantum efficiency of the charge-coupled device camera. This paper presents a novel neutron image enhancement method that utilizes the sparrow search algorithm to automatically optimize the gain factor coefficient of the adaptive contrast enhancement algorithm and incorporates neutron image information to achieve image enhancement. Experimental results show that compared with other enhancement methods, the proposed method can effectively improve the quality of neutron images visually and numerically and has good operational stability.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Nuclear Physics and Applications · Image Processing Techniques and Applications · Advanced Image Processing Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (28)
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1. 2008
2. Neutron imaging in materials science10.1016/s1369-7021(11)70139-0 ↗
3. Three-dimensional imaging of hydrogen blister in iron with neutron tomography10.1016/j.actamat.2014.06.034 ↗
4. Imaging with cold neutrons at the CONRAD-2 facility10.1016/j.phpro.2015.07.008 ↗
5. Quantitative characterization of Japanese ancient swords through energy-resolved neutron imaging10.1039/c2ja30035d ↗
6. 2017 · 32910.1007/978-3-319-33163-8_16 ↗
7. Progress in industrial applications using modern neutron imaging techniques10.1016/j.phpro.2013.03.027 ↗
8. Visualising the soot and ash distribution in diesel particulate filters using neutron imaging10.1007/s38313-012-0268-5 ↗
9. High-energy neutron imaging development at LLNL
10. 2022
11. High-sensitivity fast neutron radiography system10.3321/j.issn:1000-3290.2007.01.095 ↗
12. 2018 · 26
13. Review of ‘histogram’ equalization technique for image enhancement10.3778/j.issn.1002-8331.1710-0031 ↗
14. Survey of contrast enhancement techniques based on histogram equalization10.14569/ijacsa.2011.020721 ↗
15. Properties and performance of a center/surround retinex10.1109/83.557356 ↗
16. Real-time adaptive contrast enhancement10.1109/tpami.1981.4767166 ↗
17. A novel swarm intelligence optimization approach: Sparrow search algorithm10.1080/21642583.2019.1708830 ↗
18. Neutron imaging of froth structure and particle motion10.1016/j.mineng.2018.01.021 ↗
19. A preliminary study of the performance for high energy neutron radiography convertor10.11889/j.0253-3219.2020.hjs.43.070203 ↗
20. The pilot experimental study of 14 MeV fast neutron digital radiography10.1007/s11433-009-0184-0 ↗
21. A freeware path to neutron computed tomography10.1016/j.phpro.2017.06.047 ↗
22. White spots noise removal of neutron images using improved robust principal component analysis10.1016/j.fusengdes.2020.111739 ↗
23. An adaptive algorithm for gamma spots removal in CCD-based neutron radiography and tomography10.1016/j.nima.2006.04.063 ↗
24. A neutron tomography facility at a low power research reactor10.1016/s0168-9002(01)00917-2 ↗
25. Design of a neutron radiography facility at the spallation source SINQ10.1016/0168-9002(96)00106-4 ↗
26. 2019 · 11
27. Estimation of defocus blurring parameter based on grayscale mean gradient and particle swarm optimization10.11772/j.issn.1001-9081.2016.04.1111 ↗
28. Image quality assessment: From error visibility to structural similarity10.1109/tip.2003.819861 ↗