A comparison of support vector machine with maximum likelihood classification algorithms on texture features.
Shuying JinDeren LiJingwen WangPublished in: IGARSS (2005)
Keyphrases
- texture features
- support vector machine
- feature vectors
- maximum likelihood
- support vector machine svm
- texture feature extraction
- machine learning
- feature extraction
- texture analysis
- pattern recognition
- classification accuracy
- wavelet features
- gabor filters
- support vector
- texture classification
- image features
- feature set
- image classification
- multiscale
- learning algorithm
- texture images
- texture features are extracted
- gabor filtering
- data sets
- local binary pattern
- gray level
- color images
- training set
- feature space
- feature selection
- data mining