Texture Segmentation Using the Mixtures of Principal Component Analyzers.
Mohamed E. M. MusaRobert P. W. DuinDick de RidderVolkan AtalayPublished in: ISCIS (2003)
Keyphrases
- texture segmentation
- principal components
- multiresolution
- texture analysis
- principal component analysis
- region and edge information
- textured images
- gabor filters
- segmentation of textured images
- spatial frequency
- dimensionality reduction
- image segmentation
- multivariate data
- feature set
- kernel space
- rotational invariant
- principal component regression
- active contour model
- boundary and region information
- covariance matrix
- data sets
- feature extraction
- expectation maximization
- dimension reduction
- bayesian framework
- feature vectors
- face recognition
- image processing
- data mining