Two-stage hybrid algorithm for recognition of industrial slab numbers with data quality improvement
Abstract As the unique recognition of each slab, the accurate recognition of slab number is especially critical for the hot rolling production process. However, the collected data are often of low quality due to poor production environment conditions, making traditional deep learning algorithms face...
Main Authors: | Qingqing Liu, Xianpeng Wang, Xiangman Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2022-12-01
|
Series: | Complex & Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1007/s40747-022-00933-0 |
Similar Items
-
ChromoEnhancer: An Artificial-Intelligence-Based Tool to Enhance Neoplastic Karyograms as an Aid for Effective Analysis
by: Yahya Bokhari, et al.
Published: (2022-07-01) -
A New Method for Training CycleGAN to Enhance Images of Cold Seeps in the Qiongdongnan Sea
by: Yuanheng Li, et al.
Published: (2023-02-01) -
Unpaired Underwater Image Enhancement Based on CycleGAN
by: Rong Du, et al.
Published: (2021-12-01) -
Stain Style Transfer for Histological Images Using S3CGAN
by: Jiann-Shu Lee, et al.
Published: (2022-01-01) -
Multi-Contrast MRI Image Synthesis Using Switchable Cycle-Consistent Generative Adversarial Networks
by: Huixian Zhang, et al.
Published: (2022-03-01)