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ICIAP
1997
ACM
13 years 10 months ago
Unsupervised Texture Segmentation Using Feature Distributions
This paper presents an unsupervised texture segmentation method, which uses distributions of local binary patterns and pattern contrasts for measuring the similarity of adjacent i...
Timo Ojala, Matti Pietikäinen
MICCAI
2009
Springer
14 years 7 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased active contour segmentation ...
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B....
ICPR
2008
IEEE
14 years 7 months ago
Using covariance matrices for unsupervised texture segmentation
In this paper we propose an efficient unsupervised texture segmentation method. We introduce the extension of a state-of-the-art segmentation algorithm, which is exclusively based...
Horst Bischof, Michael Donoser
VLSM
2005
Springer
13 years 11 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
ICPR
2000
IEEE
14 years 7 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