Study on anti-interference detection of machining surface defects under the influence of complex environment-Reference-Cited by-同舟云学术

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Study on anti-interference detection of machining surface defects under the influence of complex environment

Published:2023-12-16 Issue: Volume: Page:
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Chen Wei,Zou Bin^ORCID,Lei Ting,Zheng Qinbing,Huang Chuanzhen,Li Lei,Liu Jikai

Funder

National Key Research and Development Project of China

National Natural Science Foundation of China

Scientific Research Project for National High-level Innovative Talents of Hebei Province Full-time Introduction

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10845-023-02276-0.pdf

Reference27 articles.

1. Chen, L. C., Zhu, Y., Papandreou, G., Schroff, F., Adam, H., Ferrari, V., Hebert, M., Sminchisescu, C., & Weiss, Y. (2018). Encoder-decoder with atrous separable convolution for semantic image segmentation. In 2018 15th European Conference on Computer Vision (pp. 833–851). https://doi.org/10.1007/978-3-030-01234-2_49

2. Chen, W., Zou, B., Yang, J. Z., Huang, C. Z., Yao, P., & Liu, J. K. (2022). The machined surface defect detection of improved superpixel segmentation and two-level region aggregation based on machine vision. Journal of Manufacturing Processes, 80, 287–301. https://doi.org/10.1016/j.jmapro.2022.05.038

3. Chen, Y. J., Ding, Y. Y., Zhao, F., Zhang, E. H., Wu, Z. G., & Shao, L. H. (2021). Surface defect detection methods for industrial products: A review. Applied Sciences, 11, 7657. https://doi.org/10.3390/app11167657

4. Criminisi, A., Pérez, P., & Toyama, K. (2004). Region filling and object removal by exemplar-based image inpainting. IEEE Transactions on Image Processing, 13(9), 1200–1212. https://doi.org/10.1109/TIP.2004.833105

5. Deng, J. H., Lu, Y., & Lee, V. C. S. (2020). Imaging-based crack detection on concrete surfaces using You Only Look Once network. Structural Health Monitoring, 20(2), 484–499. https://doi.org/10.1177/1475921720938486

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