机械制造与自动化2025，Vol.54Issue(1)：7-10,4.DOI:10.19344/j.cnki.issn1671-5276.2025.01.002
基于γ光子的工业件内部成像质量优化研究
Research on Optimization of Internal Imaging Quality of Industrial Parts Based on γ-photons
摘要
Abstract
In order to solve the problems of low spatial resolution and blurred edges of the images used in the internal imaging of industrial parts by γ-photons,this paper proposes an EP-MLEM reconstruction algorithm based on the traditional MLEM algorithm,which can improve the image quality by optimizing each iteration of the reconstruction.A set of industrial multi-tube simulation models is designed and simulated,and the image quality of the reconstructed image is evaluated by the traditional MLEM algorithm and the improved EP-MLEM algorithm respectively.The simulation results show that the PSNR and SSIM of the image reconstructed by EP-MLEM algorithm increase from 21.143 4 and 0.615 8 to 23.138 3 and 0.719 8 respectively,among which EP-MLEM algorithm is better than traditional one in edge performance.关键词
γ光子/无损检测/软件设计/图像处理/质量优化Key words
γ-photons/non-destructive testing/software design/image processing/quality optimization分类
通用工业技术引用本文复制引用
马柏林,姚敏,王明,刘铭,陈舒熠..基于γ光子的工业件内部成像质量优化研究[J].机械制造与自动化,2025,54(1):7-10,4.基金项目
国家自然科学基金面上项目(62071229) （62071229）
航空科学基金项目(2020Z060052001) （2020Z060052001）
南京航空航天大学研究生科研与实践创新计划项目(xcxjh20220331) （xcxjh20220331）
