Is local dominant orientation necessary for the classification of rotation invariant texture?
Zhenhua GuoQin LiLin ZhangJane YouDavid ZhangWenhuang LiuPublished in: Neurocomputing (2013)
Keyphrases
- pattern recognition
- dominant orientation
- classification accuracy
- support vector
- feature selection
- feature extraction
- decision trees
- machine learning
- feature vectors
- class labels
- machine learning methods
- support vector machine
- classification algorithm
- classification models
- training data
- training set
- text classification
- gray level
- rotation invariant texture