High precision post-processing framework for industrial computed tomography detection-Reference-Cited by-同舟云学术

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High precision post-processing framework for industrial computed tomography detection

Published:2022-04 Issue: Volume:192 Page:116401
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zheng Jia,Sun Yuanxi,Luo Zhiyong,Zhang Dinghua

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing

Chongqing Municipal Education Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. A study of the particle-level fabric and morphology of granular soils under one-dimensional compression using insitu X-ray CT imaging;Alam;Materials,2018

2. Flaw detection in radiographic weldment images using morphological watershed segmentation technique;Anand;Ndt & e international,2009

3. Active contours without edges;Chan;IEEE Transactions on image processing,2001

4. Improved image unevenness reduction and thresholding methods for effective asphalt X-Ray CT image segmentation;Chen;Journal of Computing in Civil Engineering,2017

5. Fuzzy c-means clustering with spatial information for image segmentation;Chuang;Computerized Medical Imaging and Graphics,2006

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