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» Rotation-Invariant Texture Recognition
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ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
TIP
2002
133views more  TIP 2002»
14 years 9 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
ICIP
2000
IEEE
15 years 11 months ago
Rotationally Invariant Texture Features Using the Dual-Tree Complex Wavelet Transform
New rotationally invariant texture feature extraction methods are introduced that utilise the dual tree complex wavelet transform (DT-CWT). The complex wavelet transform is a new ...
Paul R. Hill, David R. Bull, Cedric Nishan Canagar...
ICPR
2000
IEEE
15 years 10 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
ICIP
2010
IEEE
14 years 7 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