A comparative study of supervised evaluation criteria for image segmentation.
Sébastien ChabrierHélène LaurentBruno EmileChristophe RosenbergerP. MarchéPublished in: EUSIPCO (2004)
Keyphrases
- evaluation criteria
- image segmentation
- evaluation process
- evaluation methods
- active contours
- multiscale
- semi supervised
- supervised learning
- markov random field
- graph cuts
- region growing
- segmentation method
- comparative study
- segmentation algorithm
- level set method
- image processing
- feature selection
- learning algorithm
- supervised classification
- gray level
- machine learning
- fuzzy rules
- deformable models
- shape prior
- unsupervised learning
- level set
- computer vision
- spectral clustering
- energy function
- expectation maximization
- image segmentation algorithm
- contour detection