DEEPS: A novel framework for image quality improvement of X-ray non-destructive testing-Reference-Cited by-同舟云学术

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DEEPS: A novel framework for image quality improvement of X-ray non-destructive testing

Published:2023-04-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 8th International Conference on Multimedia and Image Processing
language:
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Author:

Mei Jianqiang¹^ORCID,Jia Fan²^ORCID,Chen Wanyan¹^ORCID,Li Biyuan¹^ORCID

Affiliation:

1. School of Electronic Engineering, Tianjin University of Technology and Education, China

2. Raysov Instrument Co. Ltd, China

Funder

Tianjin Science and Technology Program

Science and Technology Planning Project of Liaoning Province

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3599589.3599592

Reference27 articles.

1. Non-destructive evaluation of localised heat damage occurring in carbon composites using thermography and thermal diffusivity measurement

2. Non-destructive testing using radiographic images ? a survey

3. OUYANG Chengsu , YUAN Jun , TIAN Junwei , and HUANG Yongxuan . 2009. An Enhancement Method for X-Ray Image Using Rough Sets and Human Visual System . Journal of Xi’an Jiaotong University 06 ( 2009 ), 48–51+56. OUYANG Chengsu, YUAN Jun, TIAN Junwei, and HUANG Yongxuan. 2009. An Enhancement Method for X-Ray Image Using Rough Sets and Human Visual System. Journal of Xi’an Jiaotong University 06 (2009), 48–51+56.

4. Industrial X-ray image enhancement algorithm based on gradient field;Chong ZHOU;Journal of Computer Applications,2019

5. New algorithm for X-ray image enhancement;Cun ZHAO;Transducer and Microsystem Technologies,2017

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