Evaluating the quality of binary partition trees based on uncertain semantic ground-truth for image segmentation.
Jimmy Francky RandrianasoaCamille KurtzPierre GançarskiEric DesjardinNicolas PassatPublished in: ICIP (2017)
Keyphrases
- ground truth
- image segmentation
- high quality
- binary tree
- image segmentation algorithms
- decision trees
- multiscale
- ground truth data
- semantic information
- deformable models
- quality measures
- segmented images
- decision making
- graph cuts
- markov random field
- method for image segmentation
- semantic web
- segmentation method
- segmentation algorithm
- image processing
- data quality
- semantic knowledge
- domain specific
- natural language
- data structure