DocumentCode
1308104
Title
3-D contextual Bayesian classifiers
Author
Larsen, Rasmus
Author_Institution
Dept. of Math. Modelling, Tech. Univ. Denmark, Lyngby, Denmark
Volume
9
Issue
3
fYear
2000
fDate
3/1/2000 12:00:00 AM
Firstpage
518
Lastpage
524
Abstract
We extend a series of multivariate Bayesian two-dimensional (2-D) contextual classifiers to three-dimensional (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 six nearest 3-D neighbors
Keywords
Bayes methods; Gaussian distribution; image classification; white noise; 3D contextual Bayesian classifiers; Gaussian distribution; class variables; feature vectors; image classification; multivariate Bayesian contextual classifiers; nearest 3D neighbors; prior distribution; Bayesian methods; Brain modeling; Frequency; Gaussian distribution; Image segmentation; Magnetic resonance; Nearest neighbor searches; Pixel; Testing; Two dimensional displays;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.826789
Filename
826789
Link To Document