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X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio

The dynamic range of an X-ray digital imaging system is very important when detecting objects with a high absorption ratio. In this paper, a ray source filter is used to filter the low-energy ray components which have no penetrating power to the high absorptivity object to reduce the X-ray integral...

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Detalles Bibliográficos
Autores principales: Liu, Yanxiu, Li, Kaitai, Ding, Dan, Li, Ye, Zhao, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007314/
https://www.ncbi.nlm.nih.gov/pubmed/36904700
http://dx.doi.org/10.3390/s23052498
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author Liu, Yanxiu
Li, Kaitai
Ding, Dan
Li, Ye
Zhao, Peng
author_facet Liu, Yanxiu
Li, Kaitai
Ding, Dan
Li, Ye
Zhao, Peng
author_sort Liu, Yanxiu
collection PubMed
description The dynamic range of an X-ray digital imaging system is very important when detecting objects with a high absorption ratio. In this paper, a ray source filter is used to filter the low-energy ray components which have no penetrating power to the high absorptivity object to reduce the X-ray integral intensity. This enables the effective imaging of the high absorptivity objects and avoids the image saturation of low absorptivity objects, thus achieving single exposure imaging of high absorption ratio objects. However, this method will reduce the image contrast and weaken the image structure information. Therefore, this paper proposes a contrast enhancement method for X-ray images based on Retinex. Firstly, based on Retinex theory, the multi-scale residual decomposition network decomposes the image into an illumination component and a reflection component. Then, the contrast of the illumination component is enhanced through the U-Net model with the global–local attention mechanism, and the reflection component is enhanced in detail using the anisotropic diffused residual dense network. Finally, the enhanced illumination component and the reflected component are fused. The results show that the proposed method can effectively enhance the contrast in X-ray single exposure images of the high absorption ratio objects, and can fully display the structure information of images on devices with low dynamic range.
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spelling pubmed-100073142023-03-12 X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio Liu, Yanxiu Li, Kaitai Ding, Dan Li, Ye Zhao, Peng Sensors (Basel) Article The dynamic range of an X-ray digital imaging system is very important when detecting objects with a high absorption ratio. In this paper, a ray source filter is used to filter the low-energy ray components which have no penetrating power to the high absorptivity object to reduce the X-ray integral intensity. This enables the effective imaging of the high absorptivity objects and avoids the image saturation of low absorptivity objects, thus achieving single exposure imaging of high absorption ratio objects. However, this method will reduce the image contrast and weaken the image structure information. Therefore, this paper proposes a contrast enhancement method for X-ray images based on Retinex. Firstly, based on Retinex theory, the multi-scale residual decomposition network decomposes the image into an illumination component and a reflection component. Then, the contrast of the illumination component is enhanced through the U-Net model with the global–local attention mechanism, and the reflection component is enhanced in detail using the anisotropic diffused residual dense network. Finally, the enhanced illumination component and the reflected component are fused. The results show that the proposed method can effectively enhance the contrast in X-ray single exposure images of the high absorption ratio objects, and can fully display the structure information of images on devices with low dynamic range. MDPI 2023-02-23 /pmc/articles/PMC10007314/ /pubmed/36904700 http://dx.doi.org/10.3390/s23052498 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Yanxiu
Li, Kaitai
Ding, Dan
Li, Ye
Zhao, Peng
X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title_full X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title_fullStr X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title_full_unstemmed X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title_short X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
title_sort x-ray single exposure imaging and image processing of objects with high absorption ratio
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007314/
https://www.ncbi.nlm.nih.gov/pubmed/36904700
http://dx.doi.org/10.3390/s23052498
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