Optimal Feature Set for Automatic Detection and Classification of Underwater Objects in SAS Images.
Raquel FandosAbdelhak M. ZoubirPublished in: IEEE J. Sel. Top. Signal Process. (2011)
Keyphrases
- automatic detection
- feature set
- small bowel
- feature extraction and selection
- classification accuracy
- feature selection
- feature vectors
- feature representation
- extracted features
- feature subset
- primitive features
- automatic classification
- image classification
- lymph nodes
- individual features
- feature space
- feature extraction
- curvelet transform
- random forest
- automatically detecting
- image data
- class labels
- pattern recognition
- feature reduction
- object recognition
- fish species
- image features
- similarity measure
- multiple features
- set of real images
- gabor filters
- image analysis
- image processing
- selected features
- texture features
- d objects
- support vector machine
- tumor detection