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» Ray-based Color Image Segmentation
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CVPR
2007
IEEE
16 years 8 months ago
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework
In this paper we propose a new segmentation algorithm which combines patch-based information with edge cues under a probabilistic framework. We use a mixture of multiple Gaussians...
Omer Rotem, Hayit Greenspan, Jacob Goldberger
183
Voted
ICIP
2009
IEEE
15 years 3 months ago
A novel two-tier Bayesian based method for hair segmentation
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior prob...
Dan Wang, Shiguang Shan, Wei Zeng, Hongming Zhang,...
188
Voted
ICIP
2006
IEEE
16 years 7 months ago
Spatial and Color Spaces Combination for Natural Scene Text Extraction
Natural scene images brought new challenges for a few years and one of them is text understanding over images or videos. Text extraction which consists to segment textual foregrou...
Bernard Gosselin, Céline Mancas-Thillou
CVPR
2003
IEEE
16 years 8 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CIARP
2006
Springer
15 years 10 months ago
Color Texture Segmentation by Decomposition of Gaussian Mixture Model
Abstract. Recently we have proposed Gaussian mixtures as a local statistical model to synthesize artificial textures. We describe the statistical dependence of pixels of a movable ...
Jiri Grim, Petr Somol, Michal Haindl, Pavel Pudil