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ICIP
2009
IEEE
13 years 5 months ago
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
Rachid Hedjam, Max Mignotte
ICIP
2003
IEEE
14 years 9 months ago
Hierarchical segmentation via a diffusion scheme in color/texture feature space
This paper presents a segmentation scheme for images containing both smooth regions and textures. It is based on a vector-valued anisotropic diffusion on a combined color/Gabor fe...
Iris Vanhamel, Antonis Katartzis, Hichem Sahli
ICPR
2000
IEEE
14 years 8 months ago
Color and/or Texture Segmentation Using Deterministic Relaxation and Fast Marching Algorithms
The segmentation of colored texture images is considered. Either luminance, color, and/or texture features could be used for segmentation. For luminance and color the classes are ...
Spyros Liapis, Eftychios Sifakis, George Tziritas
ICPR
2008
IEEE
14 years 8 months ago
Using covariance matrices for unsupervised texture segmentation
In this paper we propose an efficient unsupervised texture segmentation method. We introduce the extension of a state-of-the-art segmentation algorithm, which is exclusively based...
Horst Bischof, Michael Donoser
TIP
2008
125views more  TIP 2008»
13 years 7 months ago
Integrating Color and Shape-Texture Features for Adaptive Real-Time Object Tracking
We extend the standard mean-shift tracking algorithm to an adaptive tracker by selecting reliable features from color and shape-texture cues according to their descriptive ability....
Junqiu Wang, Yasushi Yagi