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High-energy flash X-ray image linear reconstruction method with uncertainty constraint

An X-ray and deterministic technology, applied in the field of image processing, can solve problems such as large amount of calculation and sensitivity to noise, and achieve the effects of accelerating the solution process, improving accuracy, and improving stability

Pending Publication Date: 2022-05-06
中国船舶集团有限公司第七二四研究所
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Problems solved by technology

[0004] Aiming at the problem that the high-energy flash X-ray image reconstruction algorithm has a large amount of calculation and is sensitive to noise, the present invention provides an uncertainty-constrained high-energy flash X-ray image linear reconstruction method

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  • High-energy flash X-ray image linear reconstruction method with uncertainty constraint
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  • High-energy flash X-ray image linear reconstruction method with uncertainty constraint

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Embodiment Construction

[0013] The schematic flow chart of the present invention is as figure 1 shown.

[0014] A method for linear reconstruction of high-energy flash X-ray images with uncertainty constraints of the present invention, preferred implementation steps include:

[0015] 1) Linearize the high-energy flash X-ray imaging model to construct a linear imaging model to be solved. The specific steps include:

[0016] 11) The high-energy flash X-ray source is an area surface light source with a continuous spectrum, so there will be problems such as energy spectrum effect and light source blur. The source blur and the blur caused by the imaging detector are collectively referred to as system blur. In the process of high-energy X-rays interacting with the target, there are still scattered X-rays that can pass through the scintillator, which will adversely affect the image quality. In addition, the noise caused by the low energy conversion efficiency of the imaging detector will also affect the ...

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Abstract

The invention discloses an uncertainty-constrained linear reconstruction method for a high-energy flash X-ray image. A two-stage framework is designed, the reconstruction process of a high-resolution image is constrained through uncertainty of high-stage target parameters so as to eliminate the phenomenon that a sampled sample is unstable due to noise in an optical path image, and a variable splitting form of posterior distribution is considered in the two-stage framework so as to explore more flexible and accurate sampling steps. A high-efficiency MCMC algorithm with a first-order truncation CG optimizer is adopted to approximate posterior distribution of target parameters, the algorithm sampling efficiency is improved, and finally a refining step is adopted to remove residual noise in a sample mean value. The algorithm is high in calculation efficiency, and the image reconstruction quality can be effectively improved.

Description

technical field [0001] The invention belongs to the technical field of image processing. Background technique [0002] The target studied by high-energy flash X-ray radiography has the characteristics of thick equivalent thickness, complex internal shape, and fast dynamic process. According to the attenuation characteristics of high-intensity pulsed X-rays penetrating the irradiated target with different densities and thicknesses, it can be obtained on the imaging plane Forward static projection image, inversion of the projection image can realize the diagnosis of the validity and stability of the internal structure of the target, and has the characteristics of strong penetrating ability, short pulse width, and non-contact. At present, the countries that carry out research on high-energy flash X-ray radiography in the world mainly include the United States, Russia, Britain, France, and China. The difference is mainly in the accelerators used to generate electron beams. Among...

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Application Information

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IPC IPC(8): G06T11/00G06T5/20G06T5/00
CPCG06T11/003G06T11/008G06T5/20G06T2207/10116G06T2207/20032G06T5/70
Inventor 许金鑫管志强曹德建孟凡君鲍鹏飞
Owner 中国船舶集团有限公司第七二四研究所
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