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» Image spam filtering using Fourier-Mellin invariant features
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CVPR
2004
IEEE
14 years 10 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
ICIP
2000
IEEE
14 years 10 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 3 months 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
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 6 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
ICIP
2003
IEEE
14 years 10 months ago
Design of Q-shift complex wavelets for image processing using frequency domain energy minimization
This paper proposes a new method of designing finitesupport wavelet filters, based on minimization of energy in key parts of the frequency domain. In particular this technique is ...
Nick G. Kingsbury