An observation-constrained generative approach for probabilistic classification of image regions
- 1 January 2003
- journal article
- Published by Elsevier in Image and Vision Computing
- Vol. 21 (1) , 87-97
- https://doi.org/10.1016/s0262-8856(02)00125-7
Abstract
No abstract availableKeywords
This publication has 6 references indexed in Scilit:
- Model Selection and the Principle of Minimum Description LengthJournal of the American Statistical Association, 2001
- A general framework for low level visionIEEE Transactions on Image Processing, 1998
- Region-based image queryingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Texture features for browsing and retrieval of image dataPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1996
- Texture classification and segmentation using multiresolution simultaneous autoregressive modelsPattern Recognition, 1992
- Modeling by shortest data descriptionAutomatica, 1978