Parts-per-Object Count in Agricultural Images: Solving Phenotyping Problems via a Single Deep Neural Network.
Faina KhoroshevskyStanislav KhoroshevskyAharon Bar-HillelPublished in: Remote. Sens. (2021)
Keyphrases
- neural network
- individual objects
- lighting conditions
- image data
- image regions
- image database
- image analysis
- object recognition
- acquired images
- multiple objects
- region of interest
- object parts
- solving problems
- objects represented
- background clutter
- deformable objects
- rigid body
- three dimensional
- image retrieval
- edge detection
- image registration
- cluttered images
- image features
- complex scenes
- geometric information
- object localization
- three dimensional objects
- object classes
- image classification
- image matching
- visual appearance
- visual patterns
- normalized correlation
- object shape
- neural network is trained
- object class
- artificial neural networks
- segmentation method
- test images
- spatial relationships
- partial occlusion
- target object
- object model
- spatial relations
- combinatorial optimization
- object contours
- viewing angle
- bounding box
- back propagation
- segmentation algorithm
- input image
- pixel level