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» Texture classification using invariant ranklet features
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PRL
2008
88views more  PRL 2008»
13 years 10 months ago
Texture classification using invariant ranklet features
Matteo Masotti, Renato Campanini
ICIP
2010
IEEE
13 years 8 months ago
Rotation invariant texture classification using adaptive LBP with directional statistical features
Local Binary Pattern (LBP) has been widely used in texture classification because of its simplicity and computational efficiency. Traditional LBP codes the sign of the local diffe...
Zhenhua Guo, Lei Zhang, David Zhang, Su Zhang
TIP
2002
133views more  TIP 2002»
13 years 10 months ago
Wavelet-based rotational invariant roughness features for texture classification and segmentation
In this paper, we introduce a rotational invariant feature set for texture segmentation and classification, based on an extension of fractal dimension (FD) features. The FD extract...
Dimitrios Charalampidis, Takis Kasparis
ICPR
2000
IEEE
14 years 12 months ago
On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification
Many image-rotation invariant texture classification approaches have been presented previously. This paper proposes a novel scheme that is surface-rotation invariant. It uses the ...
Mike J. Chantler, Ged McGunnigle
CVPR
2003
IEEE
15 years 26 days ago
A Sparse Texture Representation Using Affine-Invariant Regions
This paper introduces a texture representation suitable for recognizing images of textured surfaces under a wide range of transformations, including viewpoint changes and nonrigid...
Svetlana Lazebnik, Cordelia Schmid, Jean Ponce