Defect Detection of Mobile Phone Surface Based on Convolution Neural Network-Reference-Cited by-同舟云学术

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Defect Detection of Mobile Phone Surface Based on Convolution Neural Network

Published:2018-02-20 Issue:icmsie Volume: Page:
ISSN:2475-8841
Container-title:DEStech Transactions on Computer Science and Engineering
language:
Short-container-title:dtcse

Author:

Ma Ling,Lu Yue,Nan Xiao Fei,Liu Yu Min,Jiang Hui Qin

Publisher

DEStech Publications

Subject

General Earth and Planetary Sciences,General Engineering,General Environmental Science

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. Research on Defect Recognition Method of Glass Screen Based on Machine Vision;2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC);2023-12-22

2. Photo Mask Defect Detection Based on Generative Adversarial Network and Positive Samples;Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery;2022

3. The detection of defects in ceramic cell phone backplane with embedded system;Measurement;2021-08

4. LE–MSFE–DDNet: a defect detection network based on low-light enhancement and multi-scale feature extraction;The Visual Computer;2021-06-25

5. Review: Application of Convolutional Neural Network in Defect Detection of 3C Products;IEEE Access;2021

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