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ICMCS
2009
IEEE
415views Multimedia» more  ICMCS 2009»
13 years 5 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
ICIP
2003
IEEE
14 years 9 months ago
Object localization using texture motifs and Markov random fields
This work presents a novel approach to object localization in complex imagery. In particular, the spatial extents of objects characterized by distinct spatial signatures at multip...
Shawn Newsam, Sitaram Bhagavathy, B. S. Manjunath
ICIP
2005
IEEE
14 years 9 months ago
Segmenting non stationary images with triplet Markov fields
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
Dalila Benboudjema, Wojciech Pieczynski
ICIP
2000
IEEE
14 years 9 months ago
Texture-Based Segmentation of Satellite Weather Imagery
Unsupervised segmentation of weather images into features that correspond to physical storms is a fundamental and difficult problem. Treating an infrared satellite image as a Mark...
V. Lakshmanan, Victor E. DeBrunner, R. Rabin
SYNASC
2006
IEEE
121views Algorithms» more  SYNASC 2006»
14 years 1 months ago
Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach
This paper is devoted to a new variational model for color texture modeling and color image decomposition into cartoon and texture. A given image f in the RGB space is decomposed ...
Luminita A. Vese, Stanley Osher