The feasibility of automated identification of six algae types using neural networks and fluorescence-based spectral-morphological features.
Jason L. DeglintChao JinAngela ChaoAlexander WongPublished in: CoRR (2018)
Keyphrases
- neural network
- morphological features
- image analysis
- pattern recognition
- fuzzy logic
- semi automated
- feature vectors
- neural network model
- computer vision
- automatic identification
- multi layer
- fully automated
- expert systems
- neural nets
- fault diagnosis
- back propagation
- artificial neural networks
- rule extraction
- fluorescence microscopy
- image segmentation