Dimension Reduction of Texture Features for Image Retrieval using Hybrid Associative Neural Networks.
Jose Antonio CatalanJesse S. JinPublished in: IEEE International Conference on Multimedia and Expo (II) (2000)
Keyphrases
- dimension reduction
- texture features
- feature extraction
- neural network
- image retrieval
- texture feature extraction
- feature space
- pattern recognition
- texture analysis
- color and texture features
- texture classification
- feature vectors
- gabor filters
- low dimensional
- principal component analysis
- high dimensional
- color features
- image database
- high dimensional data
- shape features
- feature set
- gray level
- feature selection
- image features
- image representation
- distance measure
- local binary pattern
- preprocessing
- singular value decomposition
- high dimensionality
- image classification
- dimensionality reduction
- relevance feedback
- linear discriminant analysis
- cluster analysis
- support vector machine
- training set
- gabor filtering
- image processing
- image content
- least squares
- classification accuracy
- mixture of gaussian distributions