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» Discrete Mixture Models for Unsupervised Image Segmentation
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ICPR
2008
IEEE
14 years 2 months ago
Active contour algorithm for texture segmentation using a texture feature set
This paper presents a novel algorithm for unsupervised texture segmentation. We incorporate a set of texture features under a segmentation framework, based on the active contour w...
Sandro Vega-Pons, José Luís Gil Rodr...
CVPR
2007
IEEE
14 years 9 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
CVPR
2009
IEEE
15 years 2 months ago
D - Clutter: Building object model library from unsupervised segmentation of cluttered scenes
Autonomous systems which learn and utilize a limited visual vocabulary have wide spread applications. Enabling such systems to segment a set of cluttered scenes into objects is ...
Chandra Kambhamettu, Dimitris N. Metaxas, Gowri So...
ICIP
2005
IEEE
14 years 9 months ago
Unsupervised multiband image segmentation using hidden Markov quadtree and copulas
This paper deals with Hidden Markov Quadtree model for multiband image segmentation. This task, requiring multivariate probability density computations for the data likelihood ter...
Farid Flitti, Christophe Collet, Annabele Joannic-...
WCE
2007
13 years 8 months ago
Applying EM Algorithm for Segmentation of Textured Images
— Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes...
K. Revathy, V. S. Roshni