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» Image Segmentation by Unsupervised Sparse Clustering
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ICPR
2008
IEEE
14 years 9 months ago
Region-based active contours and sparse representations for texture segmentation
In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations...
François Lecellier, Gilles Aubert, Jalal Fa...
TIP
2008
261views more  TIP 2008»
13 years 7 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
Dana Elena Ilea, Paul F. Whelan
ICPR
2008
IEEE
14 years 2 months ago
Image segmentation towards natural clusters
To find how many clusters in a sample set is an old yet unsolved problem in unsupervised clustering. Many segmentation methods require the user to specify the number of regions in...
Zhigang Tan, Nelson Hon Ching Yung
CVPR
2008
IEEE
14 years 10 months ago
Towards unsupervised whole-object segmentation: Combining automated matting with boundary detection
We propose a novel step toward the unsupervised segmentation of whole objects by combining "hints" of partial scene segmentation offered by multiple soft, binary mattes....
Andrew N. Stein, Thomas S. Stepleton, Martial Hebe...
DAGM
1998
Springer
14 years 2 days ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann