Markov random field models for unsupervised segmentation of textured color images
- 1 January 1995
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Pattern Analysis and Machine Intelligence
- Vol. 17 (10), 939-954
- https://doi.org/10.1109/34.464559
Abstract
No abstract availableThis publication has 26 references indexed in Scilit:
- Color image segmentation using Markov random fieldsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- Maximum likelihood unsupervised textured image segmentationCVGIP: Graphical Models and Image Processing, 1992
- Segmenting images using normalized colorIEEE Transactions on Systems, Man, and Cybernetics, 1992
- Markov Random Fields for Image Modelling & AnalysisPublished by Springer Nature ,1986
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1984
- On two-dimensional Markov spectral estimationIEEE Transactions on Acoustics, Speech, and Signal Processing, 1983
- Applications of stochastic texture field models to image processingProceedings of the IEEE, 1981
- Stochastic boundary estimation and object recognitionComputer Graphics and Image Processing, 1980
- Image segmentation as an estimation problemComputer Graphics and Image Processing, 1980
- Boundary and Object Detection in Real World ImagesJournal of the ACM, 1976