Robust regression and outlier detection
Robust regression and outlier detection
Scale and segmentation of grey-level images using maximum gradient paths
Image and Vision Computing - Special issue: information processing in medical imaging 1991
The Tractability of Segmentation and Scene Analysis
International Journal of Computer Vision
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
Gaussian Scale-Space Theory
Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
The minimum description length principle in coding and modeling
IEEE Transactions on Information Theory
Gradient watersheds in morphological scale-space
IEEE Transactions on Image Processing
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Automatic segmentation is performed using watersheds of the gradient magnitude and compression techniques. Linear Scale-Space is used to discover the neighbourhood structure and catchment basins are locally merged with Minimum Description Length. The algorithm can form a basis for a large range of automatic segmentation algorithms based on watersheds, scale-spaces, and compression.