ECT Image Reconstruction Algorithm Based on Multiscale Dual-Channel Convolutional Neural Network
For the problems of missing edges and obvious artifacts in Electrical Capacitance Tomography (ECT) reconstruction algorithms, an image reconstruction method based on a multiscale dual-channel convolutional neural network is proposed. Firstly, the image reconstructed by Landweber algorithm is input i...
Saved in:
| Main Authors: | Lili Wang, Xiao Liu, Deyun Chen, Hailu Yang, Chengdong Wang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2020-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/4918058 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Image Reconstruction Algorithm Based on Extreme Learning Machine for Electrical Capacitance Tomography
by: SU Ziheng, et al.
Published: (2020-10-01) -
An efficient surface electromyography-based gesture recognition algorithm based on multiscale fusion convolution and channel attention
by: Bin Jiang, et al.
Published: (2024-12-01) -
Image Recognition Based on Multiscale Pooling Deep Convolution Neural Networks
by: Haitao Sang, et al.
Published: (2020-01-01) -
Multiscale Convolutional Neural Networks for Hand Detection
by: Shiyang Yan, et al.
Published: (2017-01-01) -
Sign language recognition based on dual-channel star-attention convolutional neural network
by: Jing Qin, et al.
Published: (2025-07-01)