A comparative study of texture measures with classification based on featured distributions.
Timo OjalaMatti PietikäinenDavid HarwoodPublished in: Pattern Recognit. (1996)
Keyphrases
- pattern recognition
- classification accuracy
- feature extraction
- classification scheme
- decision trees
- texture classification
- random variables
- brodatz textures
- textural features
- classification models
- texture features
- classification algorithm
- neural network
- support vector machine
- feature vectors
- image classification
- supervised learning
- weibull distribution
- pattern classification
- texture images
- automatic classification
- preprocessing
- support vector
- image retrieval
- class conditional densities
- multiscale
- highly skewed
- gabor filtering
- probability distribution
- classification method
- model selection
- text classification