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» Applying EM Algorithm for Segmentation of Textured Images
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ICCV
2009
IEEE
15 years 1 months ago
Saliency Driven Total Variation Segmentation
This paper introduces an unsupervised color segmentation method. The underlying idea is to segment the input image several times, each time focussing on a different salient part...
Michael Donoser, Martin Urschler, Martin Hirzer an...
ACCV
2010
Springer
13 years 3 months ago
A Unified Approach to Segmentation and Categorization of Dynamic Textures
Dynamic textures (DT) are videos of non-rigid dynamical objects, such as fire and waves, which constantly change their shape and appearance over time. Most of the prior work on DT ...
Avinash Ravichandran, Paolo Favaro, René Vi...
ICPR
2000
IEEE
14 years 9 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
TIP
2002
179views more  TIP 2002»
13 years 8 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
PAMI
2007
253views more  PAMI 2007»
13 years 8 months ago
Gaussian Mean-Shift Is an EM Algorithm
The mean-shift algorithm, based on ideas proposed by Fukunaga and Hostetler (1975), is a hill-climbing algorithm on the density defined by a finite mixture or a kernel density e...
Miguel Á. Carreira-Perpiñán