Geometrically invariant color, shape and texture features for object recognition using multiple kernel learning classification approach.
Chandan SinghJaspreet SinghPublished in: Inf. Sci. (2019)
Keyphrases
- texture features
- multiple kernel learning
- color features
- shape features
- texture information
- gabor filtering
- color and texture features
- texture patterns
- feature vectors
- texture feature extraction
- texture analysis
- feature extraction
- feature set
- texture images
- texture classification
- linear combination
- gabor filters
- image features
- kernel methods
- support vector
- gray level
- d objects
- distance measure
- feature selection
- local binary pattern
- classification accuracy
- shape descriptors
- color space
- decision trees
- color images
- support vector machine
- rotation invariant
- kernel function
- machine learning algorithms
- machine learning
- multi task
- image classification
- multiple features
- shape matching
- cost sensitive
- learning problems
- svm classifier