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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 2 months ago
A new localized superpixel Markov random field for image segmentation
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
Xiaofeng Wang, Xiao-Ping Zhang
TIT
1998
78views more  TIT 1998»
13 years 4 months ago
Stationary Markov Random Fields on a Finite Rectangular Lattice
—This paper provides a complete characterization of stationary Markov random fields on a finite rectangular (nontoroidal) lattice in the basic case of a second-order neighborho...
Fréderic Champagnat, Jérôme Id...
TIP
1998
124views more  TIP 1998»
13 years 4 months ago
Texture synthesis via a noncausal nonparametric multiscale Markov random field
Abstract— Our noncausal, nonparametric, multiscale, Markov random field (MRF) model is capable of synthesising and capturing the characteristics of a wide variety of textures, f...
Rupert Paget, I. Dennis Longstaff
IVC
2007
121views more  IVC 2007»
13 years 4 months ago
Automatic selection of MRF control parameters by reactive tabu search
This paper presents an optimisation technique to automatically select a set of control parameters for a Markov Random Field. The method is based on the Reactive Tabu Search strate...
Umberto Castellani, Andrea Fusiello, Riccardo Gher...
CVIU
2007
113views more  CVIU 2007»
13 years 4 months ago
Primal sketch: Integrating structure and texture
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...
Cheng-en Guo, Song Chun Zhu, Ying Nian Wu