Objective, Probabilistic, and Generalized Noise Level Dependent Classifications of sets of more or less 2D Periodic Images into Plane Symmetry Groups.
Andrew DempseyPeter MoeckPublished in: CoRR (2020)
Keyphrases
- noise level
- three dimensional
- image data
- gaussian noise
- ground truth
- image features
- noisy images
- symmetry detection
- perspective images
- image classification
- low light
- input image
- test images
- noise reduction
- object recognition
- similarity measure
- bilateral symmetry
- image processing
- principal directions
- salt and pepper noise
- image retrieval
- feature points
- edge detection