Denoising images of dual energy X-ray absorptiometry using non-local means filters

2018 ◽  
Vol 26 (3) ◽  
pp. 395-412 ◽  
Author(s):  
Mugahed A. Al-antari ◽  
Mohammed A. Al-masni ◽  
Mohamed K. Metwally ◽  
Dildar Hussain ◽  
Se-Je Park ◽  
...  
Keyword(s):  
Dual Energy ◽  
X Ray ◽  
Local Means ◽  
Non Local

Locally optimized non-local means denoising for low-dose X-ray backscatter imagery

2014 ◽  
Vol 22 (5) ◽  
pp. 569-586
Author(s):  
Brian H. Tracey ◽  
Eric L. Miller ◽  
Yue Wu ◽  
Christopher Alvino ◽  
Markus Schiefele ◽  
...  
Keyword(s):  
Low Dose ◽  
X Ray ◽  
Local Means ◽  
Non Local

Noise-Analysis-Based Non-Local Means Method for X-ray Grating-Based Mammography Denoising

2013 ◽  
Vol 60 (2) ◽  
pp. 802-809 ◽  
Author(s):  
Xiaolei Jiang ◽  
Zhentian Wang ◽  
Li Zhang ◽  
Marco Stampanoni
Keyword(s):  
Noise Analysis ◽  
X Ray ◽  
Local Means ◽  
Non Local

scholarly journals Effectiveness of Non-Local Means Algorithm with an Industrial 3 MeV LINAC High-Energy X-ray System for Non-Destructive Testing

Sensors ◽  
2020 ◽  
Vol 20 (9) ◽  
pp. 2634 ◽  
Author(s):  
Kyuseok Kim ◽  
Jaegu Choi ◽  
Youngjin Lee
Keyword(s):  
High Energy ◽  
Imaging Systems ◽  
Non Destructive Testing ◽  
Destructive Testing ◽  
X Ray ◽  
Local Means ◽  
X Ray Imaging ◽  
Non Local ◽  
Non Destructive

Industrial high-energy X-ray imaging systems are widely used for non-destructive testing (NDT) to detect defects in the internal structure of objects. Research on X-ray image noise reduction techniques using image processing has been widely conducted with the aim of improving the detection of defects in objects. In this paper, we propose a non-local means (NLM) denoising algorithm to improve the quality of images obtained using an industrial 3 MeV high-energy X-ray imaging system. We acquired X-ray images using various castings and assessed the performance visually and by obtaining the intensity profile, contrast-to-noise ratio, coefficient of variation, and normalized noise power spectrum. Overall, the quality of images processed by the proposed NLM algorithm is superior to those processed by existing algorithms for the acquired casting images. In conclusion, the NLM denoising algorithm offers an efficient and competitive approach to overcome the noise problem in high-energy X-ray imaging systems, and we expect the accompanying image processing software to facilitate and improve image restoration.

Sign in / Sign up

Export Citation Format

Share Document