An Extension of the CHAID Tree-based Segmentation Algorithm to Multiple Dependent Variables.
Jay MagidsonJeroen K. VermuntPublished in: GfKl (2004)
Keyphrases
- segmentation algorithm
- automatic segmentation
- image segmentation
- graph cuts
- independent variables
- input image
- active shape model
- unsupervised segmentation
- region growing
- object segmentation
- segmentation procedure
- multiple regression
- watershed segmentation
- image segmentation algorithm
- homogeneous regions
- superpixels
- segmentation method
- segmented images
- dependent variables
- attitudes toward
- image segmentations
- watershed algorithm
- initial segmentation
- segmentation quality
- segmentation result
- shape prior
- ground truth
- learning environment
- multiscale