Classification of Soil Bacteria Based on Machine Learning and Image Processing.
Aleksandra KonopkaKarol StruniawskiRyszard KozeraPawel TrzcinskiLidia Sas-PasztAnna LisekKrzysztof GórnikEdyta DerkowskaSlawomir GluszekBeata SumorokMagdalena FracPublished in: ICCS (3) (2022)
Keyphrases
- machine learning
- image processing
- pattern recognition
- machine learning methods
- text classification
- machine learning algorithms
- automatic classification
- decision trees
- signal processing
- support vector machine
- supervised machine learning
- feature selection
- supervised learning
- speech processing
- learning tasks
- computer vision
- pattern classification
- machine learning approaches
- learning algorithm
- supervised classification
- classification scheme
- classification method
- classification models
- preprocessing
- machine vision
- image enhancement
- classification algorithm
- semi supervised learning
- feature extraction
- model selection
- knowledge acquisition
- text mining
- knowledge discovery
- classification accuracy
- multiple classifier systems
- image analysis
- image feature extraction
- digital image processing
- decision rules
- unsupervised learning
- data mining
- image classification
- natural language processing
- color images
- feature vectors
- computer science
- multiscale