3D Bayesian contextual classifiers |
Rasmus Larsen
|
Abstract | We extend a series of multivariate Bayesian 2-D contextual classifiers to
3-D by specifying a simultaneous Gaussian distribution for the feature vectors
as well as a prior distribution of the class variables
of a pixel and its 6 nearest 3-D neighbours. |
Keywords | Classification, Segmentation, 3-D, Contextual methods |
Type | Journal paper [With referee] |
Journal | IEEE Transactions on Image Processing |
Year | 2000 Month March Vol. 10 No. 3 pp. 518-524 |
Electronic version(s) | [pdf] |
BibTeX data | [bibtex] |
IMM Group(s) | Image Analysis & Computer Graphics |