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» Texture classification using invariant ranklet features
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ICIP
2000
IEEE
14 years 7 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...
CAIP
2009
Springer
220views Image Analysis» more  CAIP 2009»
14 years 17 days ago
Rotation Invariant Texture Classification Using Binary Filter Response Pattern (BFRP)
Using statistical textons for texture classification has shown great success recently. The maximal response 8 (MR8) method, which extracts an 8-dimensional feature set from 38 filt...
Zhenhua Guo, Lei Zhang, David Zhang
ICMCS
2005
IEEE
83views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Rotation invariant texture classification using Bamberger pyramids
We study the application of the Bamberger directional filter bank to the problem of rotation invariant texture classification. We explore the use of purely directional decomposi...
José-Gerardo Rosiles, Mark J. T. Smith, Rus...
ICIP
2001
IEEE
14 years 7 months ago
Affine invariant texture signatures
In this paper, we develop a new approach for texture classification independent of affine transforms. Based on spectral representation of texture images under affine transform, an...
Jianguo Zhang, Tieniu Tan