The Performance of Three Total Variation Based Algorithms for Enhancing the Contrast of Industrial Radiography Images-Reference-Cited by-同舟云学术

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The Performance of Three Total Variation Based Algorithms for Enhancing the Contrast of Industrial Radiography Images

Published:2020-10-23 Issue:1 Volume:32 Page:10-23
ISSN:0934-9847
Container-title:Research in Nondestructive Evaluation
language:en
Short-container-title:Research in Nondestructive Evaluation

Author:

Mirzapour Mahdi¹,Yahaghi Effat²,Movafeghi Amir³

Affiliation:

1. Department of Mathematics, Faculty of Sciences, Bu-Ali Sina University, Hamedan, Iran

2. Department of Physics, Imam Khomeini International University, Qazvin, Iran

3. Reactor and Nuclear Safety Research School, Nuclear Science & Technology Research Institute (NSTRI), Tehran, Iran

Publisher

Informa UK Limited

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/09349847.2020.1836293

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of internal defects of gas turbine blades based on the discrimination of linear attenuation coefficients;Insight - Non-Destructive Testing and Condition Monitoring;2023-06-01

2. Defect Analysis in Compressor Vanes Using Split Bregman Noise-Reduced Digital Industrial Radiography;Russian Journal of Nondestructive Testing;2023-05

3. Implementation of Total Variation algorithm for better interpretation of radiography images of Tavichi family historic hats;Journal of Research on Archaeometry;2022-06-01

4. Improved revealing of hidden structures and defects for historic art sculptures using poisson image editing;Journal of Cultural Heritage;2022-05

5. Contrast Correction Using Hybrid Statistical Enhancement on Weld Defect Images;Computers, Materials & Continua;2022

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