Analyzing features by SWLDA for the classification of HEp-2 cell images using GMM.
Omid SarrafzadehHossein RabbaniAlireza Mehri DehnaviArdeshir TalebiPublished in: Pattern Recognit. Lett. (2016)
Keyphrases
- feature vectors
- image features
- extracted features
- extracting features
- image classification
- correct classification rate
- feature extraction
- classification accuracy
- test images
- original images
- multiple classifiers
- feature representation
- feature space
- gabor filters
- visual object recognition
- image data
- individual features
- discriminative features
- classification method
- feature set
- microscopic images
- svm classifier
- image database
- image analysis
- image retrieval
- classification models
- textural features
- input image
- skin lesion
- object recognition
- keypoints
- gaussian mixture model
- handwritten digits
- support vector
- spectral features
- microscopy images
- image regions
- hyperspectral images
- image set
- highly discriminative
- fisher linear discriminant
- cell segmentation
- class labels
- training set
- face recognition
- cancer cells
- texture features
- microscope images
- gray level co occurrence matrix
- discriminative classifiers
- color features
- decision trees
- image matching
- spatial information
- segmentation algorithm
- support vector machine
- similarity measure
- image segmentation