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» Unsupervised Texture Segmentation
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ICPR
2000
IEEE
14 years 8 months ago
A Cluster Grouping Technique for Texture Segmentation
We propose an algorithm for texture segmentation based on a divide-and-conquerstrategy of statistical modeling.Selectedsets of Gaussianclusters,estimated via ExpectationMaximizati...
Roberto Manduchi
ICPR
2000
IEEE
13 years 11 months ago
Texture Classification by Multi-Predicate Local Binary Pattern Operators
This paper benchmarks the simple Local Binary Pattern (LBP) approach in the supervised texture segmentation problems of the recent comparative study of Randen and Hus
Topi Mäenpää, Matti Pietikäine...
CORR
2002
Springer
126views Education» more  CORR 2002»
13 years 7 months ago
Unsupervised Discovery of Morphemes
We present two methods for unsupervised segmentation of words into morphemelike units. The model utilized is especially suited for languages with a rich morphology, such as Finnis...
Mathias Creutz, Krista Lagus
IBPRIA
2003
Springer
14 years 1 months ago
Set-Permutation-Occurrence Matrix Based Texture Segmentation
Abstract. We have investigated a combination of statistical modelling and expectation maximisation for a texture based approach to the segmentation of mammographic images. Texture ...
Reyer Zwiggelaar, Lilian Blot, David Raba, Erika R...
ACIVS
2006
Springer
14 years 1 months ago
An Active Contour Model Guided by LBP Distributions
The use of active contours for texture segmentation seems rather attractive in the recent research, indicating that such methodologies may provide more accurate results. In this pa...
Michalis A. Savelonas, Dimitrios K. Iakovidis, Dim...