Fast and accurate aberration estimation from 3D bead images using convolutional neural networks.
Debayan SahaUwe SchmidtQinrong ZhangAurelien BarbotinQi HuNa JiMartin J. BoothMartin WeigertEugene W. MyersPublished in: CoRR (2020)
Keyphrases
- image classification
- three dimensional
- convolutional neural networks
- accurate estimation
- image database
- image data
- ground truth
- image features
- object recognition
- image analysis
- input image
- convolutional network
- test images
- image retrieval
- image regions
- image collections
- multiple images
- texture information
- orientation estimation
- image matching
- edge detection
- image set
- image annotation
- image registration
- similarity measure