A Bayesian/Monte Carlo Segmentation Method for Images Dominated by Gaussian Noise.
Zane W. BellPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (1989)
Keyphrases
- segmentation method
- monte carlo
- gaussian noise
- automated segmentation
- denoising
- segmented images
- segmentation algorithm
- region growing
- image segmentation
- noisy images
- markov chain
- piecewise smooth
- energy function
- noise level
- segmentation scheme
- image restoration
- watershed segmentation
- image analysis
- signal to noise ratio
- particle filter
- noise removal
- image data
- image features
- intensity information
- active contours
- machine learning
- edge detection
- watershed transform
- multiresolution
- mathematical morphology
- ground truth
- feature extraction
- input image
- monte carlo tree search
- salt and pepper noise