A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images.
Abdullah AlfahaidTim MorrisTim CootesPearse A. KeaneHagar KhalidNikolas PontikosPanagiotis I. SergouniotisKonstantinos BalaskasPublished in: MIUA (2019)
Keyphrases
- machine learning
- age related macular degeneration
- feature extraction
- image classification
- extracting features
- feature representation
- image retrieval
- input image
- local binary pattern
- principle component analysis
- sift descriptors
- feature selection
- object recognition
- principal components
- image descriptors
- pattern recognition
- face recognition
- support vector machine
- image database
- text classification
- machine learning algorithms
- feature descriptors
- principal components analysis
- machine learning methods
- feature space
- support vector machine svm
- image registration
- decision trees
- keypoints
- image features
- image analysis
- texture information
- principal component analysis
- retinal images
- classification accuracy
- highly discriminative
- svm classifier
- texture analysis
- texture descriptors
- action recognition
- binary patterns
- gabor filters
- texture classification
- image set
- linear discriminant analysis
- spatial information
- feature set
- supervised learning
- feature vectors
- learning algorithm