Boosting Texture-Based Classification by Describing Statistical Information of Gray-Levels Differences.
Oscar García-OlallaLaura Fernández-RoblesEnrique AlegreManuel Castejón LimasEduardo FidalgoPublished in: Sensors (2019)
Keyphrases
- statistical information
- gray level
- classification accuracy
- feature vectors
- texture features
- support vector
- support vector machine
- gray scale
- feature selection
- cost sensitive
- image segmentation
- machine learning
- pixel values
- texture analysis
- text classification
- feature space
- decision trees
- training samples
- weak learners
- black and white
- homogeneous regions
- gray level images
- learning algorithm
- class labels
- benchmark datasets
- co occurrence
- prior knowledge
- texture images
- databases
- supervised learning
- gray value
- histogram equalization