Difference theoretic feature set for scale-, illumination- and rotation-invariant texture classification.
Seba SusanMadasu HanmandluPublished in: IET Image Process. (2013)
Keyphrases
- feature set
- feature selection
- feature extraction
- random forest
- classification accuracy
- feature vectors
- texture features
- feature space
- illumination conditions
- classification models
- single image
- data sets
- text categorization
- principal components
- feature subset
- multiscale
- feature selection algorithms
- rotation invariant
- color constancy
- selected features
- page layout analysis