Image segmentation using globally optimal growth in three dimensions with an adaptive feature set.
David C. TaylorWilliam A. BarrettPublished in: VBC (1994)
Keyphrases
- globally optimal
- feature set
- graph cuts
- image segmentation
- feature selection
- random forest
- classification accuracy
- feature vectors
- markov random field
- locally optimal
- feature space
- energy minimization
- energy function
- feature extraction
- optimal decisions
- shape prior
- surface segmentation
- active contours
- gray level
- image processing
- multi label
- multiple features
- texture features
- global optimality
- feature extraction and selection
- window search
- class labels
- feature representation
- kernel function
- texture segmentation
- selected features
- convex relaxation
- individual features
- machine learning
- computer vision
- support vector
- pattern recognition
- text classification
- feature reduction
- multi view
- pose estimation
- extracted features
- feature selection algorithms