A new feature extraction process based on SFTA and DWT to enhance classification of ceramic tiles quality.
Luan CasagrandeLuiz Antonio Buschetto MacariniDaniel BitencourtAntônio Augusto FröhlichGustavo Medeiros de AraújoPublished in: Mach. Vis. Appl. (2020)
Keyphrases
- feature vectors
- classification accuracy
- decision trees
- feature set
- pattern recognition
- support vector machine svm
- text classification
- preprocessing
- discriminative features
- multiresolution
- classification method
- pattern classification
- classification scheme
- feature representation
- feature analysis
- high quality
- feature extraction
- feature values
- discrete wavelet transform
- data quality
- preprocessing stage
- image classification
- frequency domain
- image features
- support vector machine
- feature space
- support vector
- texture features
- training samples
- data sets
- supervised learning
- training set
- digital watermarking
- machine learning