Rice Sample Segmentation and Classification Using Image Processing and Support Vector Machine.
Nadeesha NagodaLochandaka RanathungaPublished in: ICIIS (2018)
Keyphrases
- support vector machine
- image processing
- classification method
- pattern recognition
- svm classifier
- small sample
- image segmentation
- support vector
- machine learning
- support vector machine svm
- feature extraction
- classification algorithm
- segmentation algorithm
- feature selection
- image analysis
- multi class
- svm classification
- classification accuracy
- feature space
- edge detection
- high classification accuracy
- k nearest neighbor
- generalization ability
- training data
- machine vision
- region growing
- feature vectors
- decision boundary
- features extraction
- medical imaging
- structured output
- multi class support vector machines
- level set
- image classification
- signal processing
- multiscale
- statistical classification
- model selection
- text classification
- feature extraction and classification
- radial basis function
- knn
- pixel classification
- medical images
- learning algorithm
- multi class svm
- decision trees
- training set
- color images
- feature set
- kernel function
- kernel methods
- segmentation method
- training samples
- sample size
- class labels