基于改进U-net的金属工件表面缺陷分割方法-Reference-Cited by-同舟云学术

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基于改进U-net的金属工件表面缺陷分割方法

Published:2023 Issue:15 Volume:60 Page:1524001
ISSN:1006-4125
Container-title:Laser & Optoelectronics Progress
language:en
Short-container-title:激光与光电子学进展

Author:

Wang Yi 王一,Gong Xiaojie 龚肖杰,Cheng Jia 程佳

Publisher

Shanghai Institute of Optics and Fine Mechanics

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Reference24 articles.

1. Segmentation-based deep-learning approach for surface-defect detection;S Šela;Journal of Intelligent Manufacturing,2020

2. Unsupervised fabric defect detection based on a deep convolutional generative adversarial network;G H Hu;Textile Research Journal,2019

3. Ore Image Segmentation method of conveyor belt based on U-net and Res_UNet models;X B Liu;Journal of Northeastern University (Natural Science),2019

4. 一种改进的双U型网络的结肠息肉分割方法;刘佳伟;光学学报,2021

5. Improved colonic polyp segmentation method based on double U-shaped network;X O Li;Acta Optica Sinica,2021

Cited by 1 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. 基于YOLOv7的轻量级低照度目标检测算法;Laser & Optoelectronics Progress;2024

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