A surface cracks detection method for nuclear fuel pellets using an improved fully convolutional network
Author:
Affiliation:
1. School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, China
Funder
Nuclear Fuel Pellet Appearance Quality Inspection Device Project
Publisher
Informa UK Limited
Subject
Nuclear Energy and Engineering,Nuclear and High Energy Physics
Link
https://www.tandfonline.com/doi/pdf/10.1080/00223131.2021.1987347
Reference28 articles.
1. The impact of emergency operating safety procedures on mitigation the nuclear thermal power plant severe accident
2. Defect inspection system of nuclear fuel pellet end faces based on machine vision
3. Pellet-Clad Interaction Behavior in Zirconium Alloy Fuel Cladding
4. The crack detection algorithm of pavement image based on edge information
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1. Implementation of surface crack detection method for nuclear fuel pellets by weakly supervised learning;Journal of Nuclear Science and Technology;2024-07-07
2. Integrating DeblurGAN and CNN to improve the accuracy of motion blur X-Ray image classification;Journal of Nuclear Science and Technology;2023-07-20
3. Overlapping Pellet Size Detection Method Based on Marker Watershed and GMM Image Segmentation;Metals;2023-02-06
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