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涡轮叶片X射线图像超分辨率重建技术
引用本文:马钟,赵歆波,艾鑫,张珂.涡轮叶片X射线图像超分辨率重建技术[J].CT理论与应用研究,2010,19(1):41-47.
作者姓名:马钟  赵歆波  艾鑫  张珂
作者单位:1. 西北工业大学,现代设计与集成制造技术教育部重点实验室,西安,710072
2. 西北工业大学,计算机学院,西安,710072
摘    要:针对涡轮叶片X光无损检测系统精度低的缺点,提出一种X光DR数字图像的分辨率增强方法。该方法采用一组包含相对位移的叶片X光图像,通过一种频率域方法对它们进行亚像素精确配准,然后采用非均匀插值重建出一幅高分辨率图像。实验结果表明该方法具有提高涡轮叶片X光数字图像分辨率的能力,具有良好的应用价值。

关 键 词:涡轮叶片  X射线数字图像  超分辨率重建

Super-Resolution Reconstruction for X-Ray of Turbine Blade
MA Zhong,ZHAO Xin-bo,AI Xin,ZHANG Ke.Super-Resolution Reconstruction for X-Ray of Turbine Blade[J].Computerized Tomography Theory and Applications,2010,19(1):41-47.
Authors:MA Zhong  ZHAO Xin-bo  AI Xin  ZHANG Ke
Institution:a (a). Laboratory of Contemporary Design and Integrated Manufacturing Technology; b). School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an 710072, China)
Abstract:Based on non-destructive testing system for turbine blade, propose a resolution enhancement approach for X-ray DR digital image. In detail, firstly, we present a frequency domain technique to precisely register a set of digital X-ray image of turbine blade, which are translated, rotated against each other within at least the subpixel dimension, then a high-resolution image is reconstructed by using nonuniform interpolation. We demonstrate the ability of the approach to improve resolution of X-ray image of turbine blade, and the resulting high-resolution image show good visual results; it also contains more detail that can be exploited for zooming in non-destructive inspection.
Keywords:turbine blade  X-ray image  super-resolution reconstruction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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