Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography

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 scr...

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Main Authors: Wangtao Yu, Peng Xu, Jie Bao, Man Zhou
Format: Article
Language:English
Published: AIP Publishing LLC 2023-08-01
Series:AIP Advances
Online Access:http://dx.doi.org/10.1063/5.0157479
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author Wangtao Yu
Peng Xu
Jie Bao
Man Zhou
author_facet Wangtao Yu
Peng Xu
Jie Bao
Man Zhou
author_sort Wangtao Yu
collection DOAJ
description 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.
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spelling doaj.art-6d8011297e454ca5a901e6fc943487282023-09-08T16:03:30ZengAIP Publishing LLCAIP Advances2158-32262023-08-01138085112085112-1110.1063/5.0157479Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiographyWangtao Yu0Peng Xu1Jie Bao2Man Zhou3Xi’an Research Institute of High Technology, Xi’an 710025, Shaanxi, ChinaXi’an Research Institute of High Technology, Xi’an 710025, Shaanxi, ChinaKey Laboratory of Nuclear Data, China Institute of Atomic Energy, Beijing 102413, ChinaXi’an Research Institute of High Technology, Xi’an 710025, Shaanxi, ChinaAs 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.http://dx.doi.org/10.1063/5.0157479
spellingShingle Wangtao Yu
Peng Xu
Jie Bao
Man Zhou
Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
AIP Advances
title Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
title_full Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
title_fullStr Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
title_full_unstemmed Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
title_short Image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
title_sort image enhancement using an improved adaptive contrast enhancement algorithm in neutron radiography
url http://dx.doi.org/10.1063/5.0157479
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AT pengxu imageenhancementusinganimprovedadaptivecontrastenhancementalgorithminneutronradiography
AT jiebao imageenhancementusinganimprovedadaptivecontrastenhancementalgorithminneutronradiography
AT manzhou imageenhancementusinganimprovedadaptivecontrastenhancementalgorithminneutronradiography