Three-dimensional (3-D) objects classification by means of phase-only digital holographic information using Alex Network
Author:
Affiliation:
1. ATME College of Engineering,Dept of CSE (AI&ML),Mysore,Karnataka
2. ATME College of Engineering,Dept of CSE,Mysore,Karnataka
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625767/10627770/10627906.pdf?arnumber=10627906
Reference18 articles.
1. Focus prediction in digital holographic microscopy using deep convolutional neural networks
2. Convolutional Neural Network-Based Regression for Depth Prediction in Digital Holography
3. U-Net: Convolutional Networks for Biomedical Image Segmentation
4. Y-Net: a one-to-two deep learning framework for digital holographic reconstruction
5. Deep convolutional neural network for three-dimensional objects classification using off-axis digital Fresnel holography
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