Image glossiness from curvelet features using SVM-based classification.
Harsh K. GandhiP. Shabari NathRajlaxmi ChouhanPublished in: IPTA (2020)
Keyphrases
- image features
- extracted features
- image classification
- extracting features
- svm classifier
- feature values
- feature vectors
- feature representation
- feature extraction
- textural features
- feature set
- low level
- classification accuracy
- class specific
- support vector machine
- original images
- support vector machine svm
- feature space
- individual features
- image data
- classification process
- invariant features
- classification models
- single image
- spectral features
- classification method
- image representation
- input image
- support vector
- svm classification
- feature histograms
- test images
- image content
- image regions
- image retrieval
- curvelet transform
- image analysis
- similarity measure
- pattern recognition
- multiscale
- denoising
- global features
- highly discriminative
- single feature
- rotation invariant
- object recognition
- high resolution
- skin lesion
- image pixels
- image segmentation
- confidence scores
- texture features
- decision trees
- machine learning
- training set
- hyperspectral images
- relevance feedback
- visual features
- color histogram
- feature descriptors
- class labels
- gabor filters
- feature subset
- texture analysis
- keypoints