Kernel principal component analysis for texture classification.
K. I. KimS. H. ParkH. J. KimPublished in: IEEE Signal Process. Lett. (2001)
Keyphrases
- texture classification
- kernel principal component analysis
- feature extraction
- texture analysis
- local binary pattern
- discriminant analysis
- texture features
- kernel pca
- gabor wavelets
- principal components
- principal component analysis
- texture images
- preprocessing
- feature space
- kernel function
- face recognition
- rotation invariant
- kernel methods
- kernel matrix
- image analysis
- high dimensional
- feature vectors
- input space
- classification method
- support vector machine svm
- pattern recognition
- image features
- dimensionality reduction
- image processing
- linear discriminant analysis
- support vector
- object recognition
- texture descriptors
- classification accuracy
- neural network
- computer vision