A rotation-invariant feature space according to environmental applications needs in a data mining system using fish otoliths.
Pere Martí-PuigRamón Reig BolañoPublished in: AI Commun. (2016)
Keyphrases
- rotation invariant
- feature space
- data mining
- feature vectors
- rotation invariance
- texture classification
- texture analysis
- texture features
- scale invariance
- gabor wavelets
- local binary pattern
- zernike moments
- high dimensional
- shape context
- dominant orientation
- texture image retrieval
- gaussian mixture model
- steerable filters
- classification accuracy
- scale and rotation invariant
- feature extraction
- face recognition
- feature selection
- steerable pyramid
- thinning algorithm
- gabor filters
- mean shift
- feature set
- dimensionality reduction
- data points
- machine learning
- input space
- shape analysis
- frequency domain
- face detection
- kernel function
- image representation
- support vector machine
- support vector
- multiscale
- image processing