SAR image segmentation based on mixture context and wavelet hidden-class-label Markov random field

DOI10.1016/J.CAMWA.2008.10.042zbMath1186.94011OpenAlexW2044212600MaRDI QIDQ971575

Yan Wu, Ming Li, Qiang Zhang

Publication date: 16 May 2010

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2008.10.042

zbMATH Keywords

SAR image segmentationhidden-class-label MRFmixture contextoverlapping windowwavelet mixture heavy-tailed model

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Application of orthogonal and other special functions (94A11)

Related Items (2)

Applying multiquadric quasi-interpolation for boundary detection ⋮ Deconvolution of defocused image with multivariate local polynomial regression and iterative Wiener filtering in DWT domain

Cites Work

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• Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models
• Adaptive segmentation of speckled images using a hierarchical random field model
• A theory for multiresolution signal decomposition: the wavelet representation
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images

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