Comparing the Performance of Connectionist and Statistical Classifiers on an Image Segmentation Problem.
Sheri L. GishW. E. BlanzPublished in: NIPS (1989)
Keyphrases
- image segmentation
- neural network
- training data
- multiscale
- decision trees
- graph cuts
- classification systems
- region growing
- statistical analysis
- linear classifiers
- classification rate
- classification models
- svm classifier
- contour detection
- markov random field
- image processing
- feature selection
- method for image segmentation
- segmentation algorithm
- feature set
- training set
- statistical models
- connectionist networks
- classification algorithm
- classifier combination
- image segmentation algorithm
- texture segmentation
- boundary detection
- unsupervised image segmentation
- confusion matrices
- level set method
- statistical tests
- statistical methods
- machine learning methods
- deformable models
- machine learning algorithms
- active contours
- expectation maximization
- expert systems
- computer vision
- machine learning