Automatic Differentiation of Damaged and Unharmed Grapes Using RGB Images and Convolutional Neural Networks.
Jonas BömerLaura ZabawaPhilipp SierenAnna KichererLasse KlingbeilUwe RascherOnno MullerHeiner KuhlmannRibana RoscherPublished in: ECCV Workshops (6) (2020)
Keyphrases
- fully automatic
- image data
- image classification
- convolutional neural networks
- automatic annotation
- image database
- three dimensional
- image analysis
- test images
- ground truth
- object recognition
- image features
- input image
- image collections
- image set
- image registration
- image retrieval
- lighting conditions
- image matching
- color space
- feature points
- spatial information
- semi automatic
- d objects
- computer vision
- gabor filters
- rigid body
- edge detection
- color images