Colour and texture segmentation using wavelet frame analysis, deterministic relaxation, and fast marching algorithms
- 31 March 2004
- journal article
- Published by Elsevier BV in Journal of Visual Communication and Image Representation
- Vol. 15 (1), 1-26
- https://doi.org/10.1016/s1047-3203(03)00025-7
Abstract
No abstract availableKeywords
This publication has 23 references indexed in Scilit:
- Color- and texture-based image segmentation using EM and its application to content-based image retrievalPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Segmentation of textured images using a multiresolution Gaussian autoregressive modelIEEE Transactions on Image Processing, 1999
- Multiresolution Gauss-Markov random field models for texture segmentationIEEE Transactions on Image Processing, 1997
- Frame representations for texture segmentationIEEE Transactions on Image Processing, 1996
- Unsupervised texture segmentation using Gabor filtersPattern Recognition, 1991
- The theory and practice of Bayesian image labelingInternational Journal of Computer Vision, 1990
- Multichannel texture analysis using localized spatial filtersIEEE Transactions on Pattern Analysis and Machine Intelligence, 1990
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of ImagesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1984
- Segmentation by Texture Using CorrelationIEEE Transactions on Pattern Analysis and Machine Intelligence, 1983
- Texture classification using features derived from random field modelsPattern Recognition Letters, 1982