Classification of Red Blood Cell Morphology Using Image Processing and Support Vector Machine.
Paul Daniel C. DivinaJohn Philip T. FelicesCarlos C. Hortinela IVJanette C. FaustoFlordeliza L. ValienteJessie R. BalbinPublished in: ICBET (2020)
Keyphrases
- support vector machine
- image processing
- pattern recognition
- classification method
- svm classifier
- feature vectors
- classification algorithm
- support vector machine svm
- multi class
- support vector
- machine learning
- high classification accuracy
- image analysis
- feature selection
- classification accuracy
- decision boundary
- mathematical morphology
- automatic classification
- feature extraction
- svm classification
- decision trees
- training set
- computer graphics
- feature space
- classification scheme
- text classification
- training samples
- training data
- class labels
- binary decision tree
- computer vision
- small sample
- multiscale
- image processing algorithms
- generalization ability
- machine vision
- kernel methods
- image classification
- hyperplane
- supervised learning
- high resolution
- denoising
- feature set
- majority voting
- signal processing
- image feature extraction
- image content analysis
- neural network