A Noval Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features.
Upendra KumarPublished in: Int. J. Inf. Retr. Res. (2024)
Keyphrases
- texture features
- decision trees
- feature set
- texture patterns
- texture classification
- naive bayes
- color features
- texture analysis
- gray level
- texture images
- gabor filters
- texture feature extraction
- feature vectors
- clustering algorithm
- image features
- textural information
- rotation invariant
- geometrical features
- distance measure
- texture information
- textured images
- gabor wavelets
- feature extraction
- d objects
- local binary pattern
- training set
- training data
- feature selection
- shape features
- texture descriptors
- k means
- support vector
- classification accuracy
- mixture of gaussian distributions
- machine learning
- ensemble methods
- moving objects
- computer vision
- ensemble classifier
- mixed data
- multiresolution