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» Set-Permutation-Occurrence Matrix Based Texture Segmentation
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IBPRIA
2003
Springer
13 years 10 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...
IGARSS
2009
13 years 2 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...
WCE
2007
13 years 6 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
EVOW
2007
Springer
13 years 11 months ago
Unsupervised Evolutionary Segmentation Algorithm Based on Texture Analysis
Abstract. This work describes an evolutionary approach to texture segmentation, a long-standing and important problem in computer vision. The difficulty of the problem can be relat...
Cynthia B. Pérez, Gustavo Olague
ICIC
2005
Springer
13 years 10 months ago
Texture Feature-Based Image Classification Using Wavelet Package Transform
In this paper, a new method based on wavelet package transform is proposed for classification of texture images. It has been demonstrated that a large amount of texture information...
Yue Zhang, Xing-Jian He, Jun-Hua Han