Artificially Enlarged Training Set in Image Segmentation.
Tuomas TölliJuha KoikkalainenKirsi LauermaJyrki LötjönenPublished in: MICCAI (1) (2006)
Keyphrases
- image segmentation
- training set
- training data
- test set
- classification accuracy
- multiscale
- active learning
- markov random field
- cross validation
- decision trees
- training examples
- graph cuts
- active contours
- supervised learning
- training samples
- segmentation algorithm
- region growing
- boundary detection
- training patterns
- method for image segmentation
- level set
- data sets
- image segmentation algorithm
- texture segmentation
- support vector machine
- nearest neighbor
- image processing
- energy function
- probabilistic relaxation
- computer vision
- classification algorithm
- deformable models
- test data
- level set method
- expectation maximization
- unsupervised image segmentation
- contour detection
- face images
- region segmentation
- graph partitioning
- feature space
- machine learning
- segmented images
- positive and negative examples
- fuzzy c means
- learning algorithm
- neural network
- medical imaging
- svm classifier